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project.html
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project.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<title>MLProject</title>
<script 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xaXpygKB5dWVlFrb5mQOydwB7i0J6ubFjh7npdh1XXdKUdEAmoj3W5Db4m4QE1LVCapO1XgH2D%2FkB08JF83SNM9ZhZf5I9%2B7Rz8J%2FI3IIfrMb5LHcjByu%2BUvGUKxQ%2FkcaLYdZ40f8JWOkw%2BA4iEBtlYSmddP1HFw%2FdKtShd1YQrncW61ZeqsIAcmYleEIEKAhx1ry8ND6aFh%2F8V9VHtiPdBPGObFcRVTzQgcz40RO7WEpW0ba3k2z3i6zBvlL9xO4ka%2F1EVnLTSa%2Buo%2BmkNzrwWDyPcz4lWOAxAp2%2BTrKORXoPGvm6d5aKpzt50u4573rAOfhP1CUXfpbjl36l4XWpysmXBCr6PbGqqsTnSRvReJFj4Xl9rvYfHFko%2FqPrb9YYEpV1CsKxTiSrXhisap%2F%2BC%2B6uu%2F8CZVz1iWlY7fGdnKxd2eM7WS2lcof2ANfjrBHRsoomvoE%2BuiF%2FpXpsCFnJYVZIVk7UsM85PYeLXYofPYf9H42YsMdtUq%2FMTd79Ho4bf2S7Gq9PVRxDC6lKG1VpVBV9cvFXGr6oVycSFZ%2FauXWquCnKooTpFvcfy0YiWVX%2BI%2FD8UOPXvp%2BE5%2Bom3JHt0IXP6MxS5U%2FAqovYd3l62%2BltAxkkq6q7T7LR3xT%2Bcz8gICtekEZU28Hq3d9JkEXhcfclufMmmZusgqh%2B5ww%2B7k3Vwcd9XbHh1JbiELt3Fu67QYbvmRs%2FCg5by%2Fr3TnRlZXhu7ijl5o6qlZ%2BrQrpkGp3PTVTZFKpwyqWabnH%2Fce5T6T%2Ba%2BNhiV5b7vOiQWG1XNvGNzngqewJWX%2BO7%2BPupIVbDas6n8HPju1ZMXmrvkcJ%2FhQ1Ya89RaqlV9P%2Bu0DacBdfrcx5rlPXMqW5%2B%2FVv8cfLHuP4t%2F6ZgDdhPFR8DGRmRoMk6R6Yc9MgU65TdN%2BKH32y1gyJruJn9x3%2BQ4%2B1zUvkZZYoyqq52HfJR1T3OUca8Ss9VrVhgoR1nngEaUXl%2BEwnEj%2B5Lg7fIsNx%2FsEWwXdT%2BI%2FD8UOO75zqXdKad2WS2XFS9L3XHH%2FH3m9r4nePnO%2F7Ys%2Fk6qErLYy0lJ6agZeeN%2FwwccYGT1QoEPwJqvCIveWiGhaw0jqw4olppFhqa8b%2FC%2BdTSMfJ8SlX%2Fp%2B918A8%2Bor5fxP%2FNTuvM3TtoeHe%2FThlVC9NKslFVNwNc6blq86mEHcyuYlSiOqOvmLPKAkLhPzbxCP6j62%2B9f0qwwjHOiiWI80kKVVktH0mD79lpNHuEPZ9yx6Q3iKpAKUiIS%2BdKK4ZmEpg0z1gZ%2FjhD12TDPydq2A6DMfTF%2FCCSlRZO0fLXPJsLM9o5%2FJ%2BS1UU8jHffrIaAVo2H93qXRX3g%2FV5fZeaqtAxwpeeqH3Trtr4z%2Boo5qyzjqus%2FuvixZ5JszVn3T9bAuDz2jM54qngC1XyGupJhFtiO%2BapVZZeFqvBG9bLT64cJ8zEW2juBk3sMRUbTMA9ggQX%2FxuNExVKRpvwrklXWFA5ZaUTl2d%2FRNOseP4pZYB18QoGHvnMyyNx5aXCbSf9x47s%2BV9Vv%2FQ2nBFacueFU%2BfxH298aemcj%2BAollosRz0QwI9ygM56qmBNbdKZpA5nYorobKAtV1yzEXc4xMjWQ2Xzu%2BE7FzK0BZnfYN3ezIOaa7cYL%2BL91Kw6%2BwooX2cJdqES1Yl3fwkumIJzZeGJX6gvVmzcdfOOV0JL6h1jjlZuVAa78e1Xd1scYiWP5mRhHlc9%2F9PFYhwhrwqz%2BfBOLKP8AaClJVcxhKRb%2FbHAgM5D5bBD67tR1UFX8XUSS8JcpqS8QN340V4kWuHQHNRnlvBhKfbH7Vr8H6fkKWPUwq6eGeuYgy1ZNqcPGOz6%2BR9SZ1V7of6CvfPi4Z0Y6zuSjamFa6bv2XhUpNzRDI2ruGXdyLNC1U%2FVs9fxHH4912DsxkOnMds9tPgd%2FPNEpvw99qvKrPL3r8FZaC3Vl26BE558ratV5h5brrxqrSjZWe2oL%2FbGSS62BPrSGWgP31eFR1ZYP7%2F23Jv5tWjqelgG%2BMe9VoU1C5X6i5fIfCh7GYRjtwIM65C%2FhnJc6S%2F9XnldPHdKgJoWtn6q6WQa0qq4yZuwG%2BY%2FxN2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYseVnpcgqGjNm7EYTNd1MEGK0kaUITo7BMiNUZj1D6RBgIRmWfxAO%2FFpHr1Vl6qOHh2WCxTJWwxWpzzycMW1rU6TJ5QMexTRpz5cqLpp7Tvw4WJlhBGp%2BBo7p79qA4m5Bmngs%2F5fXJWZFOsN86VmYRFb3agsKnuuswqLabGc2wig6q2t%2BjKX3TfZN4tc1P6Y0CV1XT7c%2Buvjor4tXpcgXo5daH5QVaUf8fJhRy0f8ShZltOdLW1lj1bW5cG1qRVxmL77HjjgmvE9R%2FzPNIBmL4pz2%2FS4zGXS56nQyJ70tVuA43%2FnhhXCDWLVTsHLHWSNKIav78VHwuOp%2FIIMipCx1YtdARq2zGvoUS986vnXcXu35aXmpqlsfXTwuQ3eviwCdg68rVx9cjSm%2F72K8qp0Ka69yLaEXBOWD7i5NogZ0pBfagNRNqJFxxsqEFfWPwLL%2B09uwHqe3jaYjJJ1eWCSe0SKcjaeJvbvxVmCVVIo0mRsZbeHSfvd3JVC1cDG3mnyFKyZVeNRZBYmKOKvFKsJysjg6o%2BzmrAAX9OBrN1HQg9KAVKq66wPik8r6uPCT1iQBH4jbAtCO9c7Gmb8KgVM%2BfqdTH%2Fyu9bWEasxz4a06Nd5xLnewJl9aLgT0WD2Vqon8Ot6IYncG62CUwRrSIF%2FgCGtkgnsnosow2zrYZMcO3HPU%2FiPwqxhxq40cvmkhMjI00%2FaV%2FG5xiVySOYQtkapLVRdU5HNTVb3sG3VWD28VlUA7vFWus3rbPl76oT28l06y2%2FaVj6ru%2BnC8vD4Cb%2FWFUMG%2FT4XH2hcKkKBASfsT6vpA4Buj1ydHk5BqNakbb68qVa4%2BFe7kXqsqkWWbd4sS5D7Nq8qnh9fhq6ASUbCGlDUMzYSvyueGPCTnI541tkrS2bvxqGrS9jZl7inw218N%2Fe75%2B2RdsdMygrCWQjrAh6pe8igqsjo4SsrB0VkV1VPprIau8tLvS92Xk%2BgMXVU0X8ZyaqQIe9z14TWS14fjYceRL%2B1585dWnQL%2FP5PsR790%2F%2BRHvwQRrA%2FU9YliQHhQVZ%2FkNwJPM6d8qumNqgkP%2F0mw8lE1zh7dUfyzR3fECSoZKDuzd6IZZrcwKtdQ8FVVjzwQWaTGlIj%2F8bZ2hrK8%2FmKhznTC9jV7MiHrLH2pir3s0qaWj5Q6KQe3zmoyT2uZzqoVE5InEAzWijBJLnFcKMQlb2pRH8sWpuLEltWH42E86rbr1I2LlGV43EFndIv7J6NbZDvXuNsHHvmrqvpgcshjZLvsG56mlmoIoIpQuUZV3SSUF1VlSr1JNtlU%2FLPJJlp9qqruehS%2F3vUolXr3DHZmdah6zyC%2Fm3sGfdu%2F353R5d2ebHiTzlX1GloX7%2Bisiscu11nlsp9izM7nFX8lu4aOEJeoD253wLdAkNfHqb%2B4Uzne1nzFunMl2j7LFl%2F1byOn%2FJ452FykRVV%2B%2FwUv3dqB93QSKHKdW71RtRSqWnUDmQP7T287sJ%2FL6B3bIU1yVbtd284wVNPqYwVwRMWR1T8ALqz12mMbzupQde2xzeesGEaAsoCZ%2B7I7D5y8HqqKTF%2B5qaqrs4r5U97TYn24Ui%2BMSl%2FL5w4rGd%2FUaKUyJBf1YbWjaZALrVXVx6m%2FuFM5Pr%2BN0IR9NxOqNnLKB6m1enX53u354H7lm700rf1vxKgKMUqcrYAU0Qq1jF6xzJjjwH6jGB6jaR4AQ964gTXA%2FzUUPFDv2r6dcu8vxEe%2BHv9Z62vgq7WUlzWibUsKgIsTMuWnqp7OqjUswt%2FeP%2FExJx8CD9Nqw5NRlPrAcBdU67668PbGCiq8837RST9I1ded8qspOrT6urVcqfn5%2B%2Bj4So%2BqOjPn0bQXVUcVbylY8MQuzMOLvLHqKgJ%2Faotc974YP33f44mOxUd%2BQXtZI8ZXERIvM6rq6ay2vyHKvOOP%2BD3f70P2ZwTFdQkq1P71dV%2F18N6uK6tRZeuDNcJ3rzr4ys9V6Ybqy0upij9VnFeLGzFqXMfGUzUvHTyrAXo3UF7W8PeqPBMsU6QUvxVqiFVVOPzcEKrq6Kx2LIoyh1%2FG74dfFt%2F7adrru4qu7qseXp%2BqpdYHE1IDGTUeXnak9k5sPkfXuV36Z4X%2B9Xf2vHMO%2BW4LelR1Tz2KPy8Pk9Pb%2FXrGsmM%2B2v4Gzp8YYrYjN9a7Y2eS5mu%2F%2Ft6bVJ1VlwJqkPepKi1UPRVd3fro43V1fa%2BjPt2o2k7QrQ3Z%2BA4dnVsNXeKUBzolL1%2BbDK7rU%2Fd6XTZELtRtroeDrMTsRDdVxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjBeb6o%2By0Pt5KEzRo61BQha4rq6dBmzsnnUdfrlhLodptTKuFmDVJLn0sd0ZGdafebSRTli2lRY0tO8OVCkMzSS0VYAfPQuvfUp3VeDG%2BiNKTVLFK3ZU7aM6KnDijC0TqWfiqSo2CGxdvO7TnwP7e2RBZwpo1jB9Nss3n5Eu3rMmwTX%2BdtTuaqr4lULqUjgBkOUvuaJT4gG7ntEQYW3qvxWdWaOgsrn8SpSdDAxm6CnAhXk3WKLNXSzKqWKU%2BVVGCxCXi9rBegxCbcDgJy73WXiOQzpbYhBUUKy5Al9TxZ%2BpD6nolyZQaBC1QcgsKloK4S79Y%2F4gKvIWCpm7TwRa3Pr271z2L1ZTe0ajwxWVTFnZSl9cVo5JMl3qq8r3WNSU5VVFTIKKhAlyMV5HVq9nKS9X2J9xomXApF8O0Ckq3lHKYaKHfDZ7unU0wykYMos4oZh1fpFI18QcvyS8vpwJH7%2BQrGPOqi%2FX%2Bo7EOtngJHDEi6L%2F%2Bs6hlU%2FD6CzWFkAqt1jpU9fZmf77wPSuKNxTJURXJp6cCXIyXk7WyVEWioaCnc%2FzgvKzvcsbf3lmuczj6G5UcJoZr7ez5%2B7b%2FraojcFPVijWdBE3gs1SqYquqRNyKW05noTVR0lxzxxrtADVQQkBb8QA4yaiRVjGqFKqipK%2BsJvamNFdzeR5bmse%2BCp930lWAvfEyslaWqrbu7DcFwcI3lIBq78TU0NTQ3olkXn5ZZrftQ6mrX4LAaDthLszH6iaGTa4KaZ0gHqcWFMJVlqq6Gha6AapXcHpzA2A%2B9y%2FWIqTUJ0%2FySZ324drbsueLHBt5BYmKm4AEFqw6G89CemT1w%2FuTtfJUjRf0n3HCo%2B%2BdPdC5iq1iBzqFgrAi%2FL26%2BW2rL74B0S0vUNwd91fBRFHzx7TNkOL%2FNcnu%2Fh83n6q6Ghb6qhf6AW3lAmD0F0j9pR0lQZ3a81a10iHJSLzUm9e%2FpRIXtfdACCJRo7YAeuPFHN6LfOvfklTWB7%2F%2BLe%2BzKk9V%2FV66%2B9KmNvy6qa37EiHI7otDd4QCa9F8aKImBUhkNY5MRVngeRKRjifZxqM3n6olvSrTPEMnQK1sAIyEG5liIXcATLtXVxooBCX40ttDEN%2FmjzQUr4MXg4Hm%2B6O5M1y7%2BhSTD4SzpPvQeOGt9Pq3vM8qjaq9s6e3UUa80qgahTzx6W2nt4UfjhK6g9DfgxxnP9%2BJzB7D%2B6ikuB8SXrEPKUSKfYZ731WOqtaYHXyNUQitm8%2FVPUMnQK18AIwZdXcATLvXglGwRa89kT%2F%2BeCvWeKUNIr7b%2Fpdn%2Fd3kUxHVC%2B9P1NKoauvk14gNLtTBZnFqW%2F3om1ngo8BHzaT9Q8Ps4eeEk20%2BB3vo%2FD0prRSwxlqvJdmdv6dQCbuMB%2FoqR9Xm3F3rB8CVyAAvlwC4OANMFwHUzQB3gbokPzh%2F%2FPFNuSlcxK%2BrEeSjELUYLyOqN1WHZmQ3Jza0EBtcEGgx7wp2AkmSGGaURUlymJjHPZB%2FvTH4d%2FbcXPJXS9YenlZaBcRIEBNL%2FJxn%2FlqJg82hnSQGbaTkeLeLydIgJQWcyw1%2F3Rlgan3UVHVUHIGB9lFKWq%2FoKkg%2BKlHdeGtMRlS%2FEMAf7955hpNV1RTFfwKhLYYpkcO0DmK%2BrmlBqNnzfHFgwb9GrQUbJ8GfH9QrCZjh5zReUbZ5C7R4i85IKZIe7iPEdF6tlT9AXV4ZYEHVUupTiqpxGahqZ55COsVyPGjMhsoZUhVuEYUC1cp61BaU31DOpsspEafyWxUrlW4L6tJN2VgB%2Fkghh6a0uX8w5o3nSQ%2F3gYmUcgacyw2v73NLz6HVpxRV41Iy8MtUCVj9ZwDGtNqzRf0TY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8ZujsFqucCyqMe0eRbGjEmI2nhR%2FHG6FDdmTYPuyzRFFsxGn7Euw%2FqXMzQ8LucGaZThkjub4WXQkmmasrIxYyU5%2Bbrm7ksJ6coR7obNoDIUgX%2FNSo1DlOxuxtV32QT8D%2FgMRcKk%2BWOQRvmKgrSGoRNgjuA1djarJcu%2FXfgzuKpUq%2Fx57MRgjX6dmqhhorKyW1sW20ofqz5LDw%2F327dsPDLvLTS%2FWYrnS%2BJoZ1GwrvZM08R4nFand95Qtux%2B0ckDH00N9c6mvpCPkbgwbCAzmsaF1mHFiklUiBnIgGh3SqwTbbyorOjBqK2ZFHhJTaTVuaW4fJ2rVTd4y4ZTvbN%2BMp0C35UdP4prB1cxaw%2Bl%2FL0TQzNd2eM7Wa2VblPeAZe60pFBF%2B0fZbpYyll6%2BDgsJ4J4iTwNEms3SxV4kZ2D3sJd1vkks6V4viSOdhYF67RnmFQjd%2FuTO2%2FwH8n98sJACwjIeqFfVtDa923hbnyiHUjWte%2FLaB3l2FpnLV5UQW6rry2HDCmD4JavQB40nVsq1Dl4S%2BPFxovn1sGysmoFPsUaISwHAaxWdMs6Zfmw1A%2BXwnESbjglb2gUssrpU4QoMuhcUYfLXulhaWfp4fEa7bhGl7gzgLN2s1RVRBlWuGySUcjqhaesV6Vj3e0ZJZJV4OWqZY5xqTSf0p3Cui%2FtvlW%2BEA2lJIZf5p9RFSHC5LQ%2BvLX4EcnVdNd86SDXLMibAkc8FnTfQ%2FelwVvUeFRYbWZ87AO3PKnET9qhr01U2QJ8KHc6zNzjX1jaFQik0%2F5qN3ewtLN08bzlEyC7CkFY382mqnDZJIkaXnhaq1Kx7vakkdXB62qseJTuFObWYPAzFD0R4l6xD%2FEcf2xssSvLl2W7H1HiG9k4HGc4VguHkSv%2BOU3L7wHrL6OqwAeejwCWb%2BgxNHNunWIUmwyhHut0WNncjRfbc4r9yfzXdkXAbCtAXIySZbgcLOUst2PRruI8pyiGwmn1SFZZqnKXpVHDC08VN6Nh3e1JqZE%2BUSVk1SNqVdWGs3w7DEiv2FtiyMLB7rnOrMcjysrG4aEZHKvzAixX6XM3TlQZMQR%2B3dTpbRAmx7uyeycgXK2W45%2B%2BtwuSYu1CS0oSvm845SW3IQ%2BYhYAklapRl5uoz2o6qYcvplJYKSRTeaoW3rN%2FDOSNp%2BsQUrCFRFVnX0T7g%2Bi7psZKz1zR%2FeoStapq306uqNaWU1U7frc%2FtvdPibxomHNz%2FRdk4fXGo32TDjbOKFQNPBbN1V%2BeNMnv3BJiNfj11BbWIKNeTguq9vhOjCU4UWVqRrw3dG%2FnpO5NedvTqepgKWedW6eHL6bS0MzH99x8qrrvwT8G8sbTqUrB5uV13Eenuv3jTO%2FlnZWOF94vfz2jQ1TcoGhkymlmSLrU%2BGPHnoH55tniRzT2jCy87vjz4fWOsmCSRNWew3sneP2jykdfcC81%2BOKJQG0gK9ckalbUSKi8ijPVYQ8ihZAqxakcLOUsoftIv0rSta8PyLiFVF5ReaqibyZJw4kXnkpVGlZ3Vx%2Bn%2FcNM52VNuPh%2BA4%2Fx1zN0oqK9kxCPHLK7QanjNvTO2sFyzN13yaTKNpyNstW%2F7b8g0PKdXDBIwEwlTKoaWDXqkmOoocbnk0CgSEjDgwRai7p8Tlbcyys3V02rwx57%2FK2mqB4XY2ln6eKF4Cq8zuqkyLhVmqrcN2nDiReeGqvQsXqKiPpk9SAqzAw%2FFa9ndOTHWPWR7Tju9cydT6mwWM0I7rA67%2FRdMvzJjV3ZcF6wuCsr8sc%2BwfgTuEGU6NtW2ptF7Xvi5uELkwK0REIuyCaoHi%2FF0s7Sw%2BM1Np%2BDqUHjcnhZI9yVFvd54Sn0o2NLURR0yKrzsqbgfq0AzvC2%2F63q9YzHxSEg7Jk7tkN9HsqD7p0YyHRme%2BY2n4MkTqf8HFZzagv%2BuQF3dXCYWil6xYH9fPotlHcP7Gcrbh7eTVZqxi8fZCtVj72wlLMEyn7Nr8Tb6sUdsmmNl%2FM6X2l4mqMLd7XqaHGfg3I%2Bqemngy3NeKvrvKwput%2Fdt9p50MZSBD0hIOyW08gdBsOsOgX4DopKL2zMFMpJa4fUDsNWQLlu5d0VNxfvNDc14%2Bc4q1r12AtL0UrmKP6cVXiaevGNMXedKV7qoFyf1KOeBvZ6yKrzsqaoY4IGqKkyZszYjeh2qiuHNmbMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmLEym65O7%2FcNb59Dlp1cnvWvuA8FoEYxnda02A2oVVr3SlbMmlyuNM3p9MYZTaf3%2B4YXZ3EZMXp7JrOdWZ36VAp%2FoyzwEUhYfkStC3XBXMGdZ%2FT3fXj%2BPr0rWbHAAuhkTt7Mrobvb5ETbA24WrRYK0al01sani9qw%2F8rU34yL2pW7vK5OPNKG7tyXq3b7%2Bges9SJXQMZSn1Kxe%2BdoOkq2488o%2B0yGtSwJqNK3aPrpWoUBU%2B19k1A4tGvBCMw4BPgpU%2FfW4n6U4nK97ewh4ZY00JeBg11evllhR6QXKfXwbudXYXvnf1kE67f%2FGQTLrClly%2BEoNR4WEUKomYndtHrT7tftKaTHYtIiiR76CUQO5VrGOd0jzfegd9tvIPFkXzy%2BgidZHthoQbeirVeo9QfhcebFqLajkWnhjUcyoum0UJyXVe3%2Bqw9qF%2B5mtHDU0G8E7uGZij4MAggIB6F2W8eVdc1xxdxfwssH%2BsfX1zXbP8CdXqdy6p1eh28%2B5Dju7K49g7Xb%2BKaPRxZaeX3zn58D6eICg8SMCusPVaM1fK19pTyhQCoSpfYqguz3S%2ByBpvejQ%2B91HpN1tBc9xh6QxTlTMP%2FscNbVfUROhd8awUqXjgitpBcV9maXA0uqO9YVGpYgTULzlNrvUYZi3VcHZQx54MgrZ6XcSeO9m2%2FEsSjL%2FEHUb%2BdlFXYlaMqq0HJvUROWteuP1%2BoGlsUI4wNy400%2Fjq9Dl4canzCFRY1nUwQykf5rYEMEnx8AKmtwsO4wkJXezZbdVFGqb%2B4A7UuMYq0JHFGyA7tObTHAodJSGcpXPeY1Q7N4J41sOofPkPDfyPHw3X2WAHcWqHpJBGfIyo8yAYZHgPfkKtzUsl2uTFUagQ%2BSri6bRgRPiqnq%2BPGI4miKK7pCsnpW0amaMRz16n1NfUc1SpqUcq8liaahugm1%2F0mUOqI47vniptMrtNbGt5RlOGqMSr81BCrhyCvmjukGp%2B0FY9YfdNJlc6wwFsFUYQ%2F3nEQqFG9Wg1I6B7z%2B%2BT33ZmV1Qfx1p5WtopFc0KSBLxD1Fo5vulKVEu2ywurogaX23R1gZ2KGXChq8u3uuoLL6lP7%2ByxHbQsLmuhEFVkiXODT0hNZx0RND0tKe8r2L%2Fo%2FZNoMsF%2FuU6vg3f3L3J8V9ZRbj23DkdJVfkBO5OYJ6oSjweEaiys1Bl28O5m8cez%2Fs8G7Zlwv2WPrKj6JBP14LrHVgxHVBxZ8XNCWh%2FET4cxcOdqOgT8mJuocvyxHY4ibqlUVVNDZ5ycGnILx3Zlp4akQezbmLEYmcKYRugSQyvVliOLW0qWuPJUZf0ndjkt1DMHCUTubajTu9R1%2FXV6Hbz7kOMTtpg%2Fzt0wu5UglG%2FL%2F%2FcJotLq4w5o1XgR8Kt1iVn10AwmkxC37qcdi7tflDU01z1mtdDAMDeH%2F2vXnFXVB%2FAwh7ddEEQ61PjmguSHHM9qsWR30C8XHiue2lCooUdVVvPkU47nPPmUXDKoHXWmu2F0tGMa1V4IelncUrLEhW1D1CvU0je0Arz%2BvCOL4wYsfPqBOr3FaRaZTq%2BDd%2Fe6KnwUXnPg3G3lfJRYPu6WktCqj1793TGBXJcYI4HB0825lAkmmKSPJad7LDLAuFWIqj6ID92OLghjMAGPNYF62COqCm%2FrZ4X2TuCj108rqalRyuyTrRCS7yCCrhCVA6IG8xHFLM7My5fFLSVLXPm00u5bU19g%2FXmKqyub%2BmL3rblfOYrrNJ3e0vAio1Wp8iuH586OYXCSfbJJrbjo6B5b800sQqqPLt5OdBHxnODHd6oFSJcE2wRqlOa8rIUH%2FKxFiQy675z6EoWeTNLNEt%2BADDBEWCipa4%2Fatae2uJQLhU5vF1Wn93uGF2dxdXoKUuged2vVp1J4JxDWdRpa4Fua8x7Z3jMnn6V63Xl5srjXkyWuPFWFjmhOW7mm6K71dHq%2Ff3gx4yBjl2P9q%2FVdRgvdr9VCqCJdAWFbSha3mKz6RNW9W2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzVgaDZXN7TCsYM1ZICw1dWVC6QQmPPvtzn72m%2F6DGlfrg%2FDNqWUZc2dpzuOL3PW0xqhwm1PqMVtkZlcJBHsm8P2tcK13GNnkOD%2B%2FvvpO%2BHbsxisPqZ3TdT0lXFzf2Ye9sfDEIq%2BytySDoqfXOxj4kXWUMnTfI2tidv1evSQi8FGU%2F3qbRAUwjleD%2FPh18x%2F%2B98wrtj9KtsQi0Dl3a0gpwsU01Ta0CVY1kSfqyoDYx7f3UoPtlHse8f1m9R%2FDw%2Fu67aO1PoG6H1DPn1a1SOl4QFddrXydZdXVxI%2Bzh53D1IwoQ4kq%2Fh5%2BLqB0y1nilmfHrbD7X%2F09qqq4F2cz1D9hjWZ2y6aaDrJ0hldqhK%2FBzWi%2F87eze1wtEkX3P4TKeoAZBHINZDW2ZlK4AiHASrmMPI8Y8J3i7z1NLeJafYOWmKldbLGV8kY824rdC%2F0gp47aka2qVyNlwmbtEvlUoMnF6eIeoOenV0skqdHFhmS8s6hEKDBIdWlu%2Frwkwzz797NOop9acFxXzf4yBhXhOKWbvxIP7w0Bx1aiHzdH%2BRlXVnb%2BXdxwYKLcXuGE7y4scE%2FAPPtJ8VIYXY3wC1HcHMqDG9xK1ZWlUXSrmIV9clVcFBBkPR3sKjw2n6F2BrF7Q2wWdBd2F38laNczU7bh0fJGPNs5vWUjIzsjr339h6b0Ov6zb%2Fv5PQL897auEuMQLbXleYWvkvxO6uPFF%2FC6%2BqNLFdfSL7nrgrgccXSPZpbmgaFd2%2FCjr7jrULJUd4zYeyfVBk%2BvfiUrnwo3vRmGcFuLeXAsI4oJ3qfhX1%2FSmZXg%2BdqE85%2Bs%2FfP2HttQmaV8WvnGGeusMz%2FCUyV0LZbJSX8Q3CKkRfCYgYxoqj2sV1oA0ZtTxyCxKIKtVl%2FjcGV%2FEaJP4XDEWQaSE7u7oGvmVv%2Fm1pfe6dVy3%2FS2JTFzPnF7n6n4S1FC5aHLDySp0cWEwr4NmVOriOg%2FfTVX5xTsWcdQ%2BtWV0i3W5TdnPWcPWQRE%2BhhiOgOGr%2FikuFCz5oDvJpu9DAtpiHXfbakUHKfjUV7DivsUfzw2FxkbTq0D%2BczSNomUUojZe5LVROW9JfTTIeDz7k9Uu1UI%2FopZC1cLfq%2BsjiJokkRXlSHjsBi54OSyVzGEhrlIIVOhwZxRkNbr%2FiaX3%2BnhCt%2F1lio6P%2FAKyLkw3A0ClKu%2BeChVBc2R1dHQDjwUeU%2BviVlVh4IsHUlV8lo9JCXgYR7YH34MkVK78w%2Bv98a2frJvCG%2BudFSNfnPlJRvdNwoz2X1j1QGb1b%2FfZwlGwSUTN%2Bn9Jsr5JP3z3JY6%2F96Uk23Icf%2BqPFwmlnrkZe5yfifTMRdTbTsS43Bt33pXzsnEYHXHpP9UD7eniRJ3YvX2tfQdvlS9g06OqQ1SxaQmdrPE8Uf1Se1x5WcfpxweK7xRGwZryURVKa2j7yvuc7a9eP1VzOtlFh%2F18HV3c1vxWA%2FIAFSlafEjdanNX9uHnAguRfOlIJ3981O5vkYL78j1kfIPfvGoggyPi%2BVTn%2Fw7aJZ9P4cgJVwj64SGgTiMex3fMMVtpf7xIKL3wU1a9%2Bdzmc6z6hZ%2FaWz3UyYiKgakY4zefs%2BeVMf8HyLO%2Bhf9UXUEgR9Tmj5vssv0zwJWlqkNUGNe7%2BWxSvd2VQ1Y5Uf0cXFYj3Jug8E4H3tOPavzLhzG1L%2B5zjmwAolKVz8kLJV5zMZOujm5V1WrGD6So%2BCy9eH3%2FhWaXtH9X9nxKdUvYGHf%2Bnq1wlO390OdTvbNtLPA8nII3Fg881gaP3%2F8KiIcEyLuv%2FxCdhdVbB8NSPCaUgKJw%2FQf3P7gf7wbJJ9vvLLDQmQWJ745czTsO7O%2FMBhbKNapiSCTkM8cjuBFRkzQDXOy44hn4X4HvpwcZ1z7IL6d5d%2BNPug2nckQNOakf7wSXF1lVRF3q4JgJzonD%2BqSiQHPK5ehd2cG%2FKydVYUx92%2FsMaIOacsxVsRXd3%2BcnN7o6urpzVXxrGylI%2BoBAp%2FThiPFo306%2BcR2eI3%2Fom8%2B1wTiM73mty63gWLLHz8WxI%2Fa2E3f92Qq0MSGV7Z2JxhdSJzfi52bIdePXkxu7sjCK%2Bb6%2F3XAWpCFXiLrDllcrTm3ZcLZco6qgmi2HaW9EJM8Ao%2BPyZ%2FrZoMuFJZ0l77zDkPhtyu1WgF2UzLGcmXLhdyqyylrefb%2F5eZsrE0y7Ck6%2B5G%2FndalqBdp9znh0h%2FSVk6KDKWxTn%2B90dXH1qNp4sfvS6W2gTgd5S8xVqgWgT25EYoNoZn3ra7w%2BzjYa3g%2BddcBmVO8l%2FpD4w8B7h%2FYUpiA88ZCuuAeS%2BtsObWoDvKRGzR9jwm1VvhvDr6vsCKH5Y9%2FyO7B3FYrtOJ6CQGRHuUZVQbX8Jo%2BpgiDJ5xrq0cs9bvBx1TVdaVC8iAj5fad6Duo6uWvivLaR3S28xMqTuwnOmmwqJ1Wbj3rjYXirV4W11A5G1mRaurh6VO2%2BBE5Sk3Mrkogjq%2Fn4HiB3A87AemdpOrewTUIHhMBx%2BL%2BedI36TdAN%2FGwjkKhe1idHmd%2BjjCpe2nTbe42c2NU9p3JF%2FbnqUpO6bp0OUfkkYWRKbMQwMiWfrlTail6KhNTdATzTfmenP9ZP82YqVdde88Y%2F%2FJw6rL1OooqelK4rm2%2B2W%2BBQvlXSc5J851GTu1InXedW8xotTClIDZ1Lv%2BSQng1tWcvVbrVcsb80fVmp61bTRL0LzmjJzfhS8Km66jtnogXVLan7JxCFM2HXoeZNqAxErWijfQcftDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxoz9%2F2u4KsiaNO1gTOYkgWLZCarynNZV6uyy6zRcFwRkdJzX1iee%2F64%2BhRBIyIR81S6W3CtZKy%2BHR53neZrO8zLFT0NXdhn%2BH9PyuTN2Gx0sqydraWHlz8rYyAyt9KVXs7%2BJjBQLTzbfr0X0PUh2BQokTLBsuXhJvoED6LqNFxsvhph9BYoOXl3o2vjRBNN4jJlcMxzU6Azmya41r%2BcgsAakBv9R0VQdJkfnOUHUeV6O%2BLav%2Bv9p5JV9T9zzWzXescZ3caU0LHMMSkrX1kkubXlF1F7rEyWIzRaWJ1YI8UJ%2BvWSB16%2BJzg594yoW%2Fmr3rSqHCX6ZyHUDwY9U5a5rhvWhGVxmhkvQrMwqtq5ZXZvA853ZX3YnSRLZ1suo5rrhFOt%2F9umRqTbSWAaaCJdv%2F%2Bcnn2omdQbN7Mmnbv9nGAX66FQFXZ1v7QXyhNqM%2FsY5lA6rqfNcKr53VkjTlr98EMwJxT6M%2FjryNUUQRvgnSgQNv4nLHP3JnWDutsQDqSHr8kGmr5jYw%2BquIMkKxNnnZX7Ax187qszwETXn17HPiqka%2B4zguOmVi21fJv5P97%2FGGatWadrF3es8FX0iq%2BmdjbrwsGhXOdZYsTb20EsYH1DGow1HhS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2Fy8vL6%2Bvqfn5%2Ft7e339%2Ff29vbo6Ojz8%2FP6%2Bvr19fX19fWmpqbLy8v6%2Bvr4%2BPjT09Pr6%2Bv6%2Bvrr6%2Buqqqrz8%2FPt7e2ioqLPz8%2Fa2trW1taioqLr6%2Bvi4uL5%2BflVVVXNzc3%2F%2F%2F%2FW1tbj4%2BPh4eHq6ur8%2FPz%2F%2F%2F%2F29vb7%2B%2Fvz8%2FP09PTMzMz%2F%2F%2F%2F%2F%2F%2F%2F5%2Bfn19fX%2F%2F%2F%2Fy8vL9%2Ff0AAADZ2dn8%2FPz7%2B%2Fv8%2FPzp6em%2Fv7%2F7%2B%2Fvq6urp6en%2B%2Fv7%2F%2F%2F%2F4ck%2FmAAAA8nRSTlMAGgDUzwIP8SMQ759fCgUvqfDGFeIYA78fbxNTt98%2FhsV%2FBhdD4Q1rRI%2Bvwo3ATxJTD18IoKWasozTETbQ4D40IX5hC6dAMR7RXydvEsRuotKLkZCATYahkzOxQlFqmbZwJiUhFWy1wyJYcXI7gB2XIEFbgjxgiWFtfTSFMy8wSYgEqFBDTSE2KCpnSyZZUaZHRFAsDuWBYJJ7AVZQpC0Z6njBKWjdN4dlMV30iN8bV7%2BzJJeHMRiDYsR6U9yVYxdP2c1dj8CKFZZVFjtaaTxOI9cMKQk4NnBW4PKUOmiNI%2FkwWoQYUdQOSk6GvkUURFSM3n71h14AAB4tSURBVHhe7J2HfyPHmaa%2FYicCDTQCQRAkQWgABpMcDSkOw3CGM5o8Gk2QRjlZOVjBsizbcs5pndb22r7d23ybc7zbdDnnnHPO%2Bd6%2F4FjdIGu6vmp280CtbF%2B%2Fkkn%2Fnip%2BaPSDDqA%2BFOm7J3ncIoDi0NAQkY3d2IaJSws2NNZZnCouduhAsrgf7o4BYy59O4fvn3ROJQKoREkBGKqYytAJCCEQWh220I81TPFIozLaNiCMH4PJr47WIooL1C1isUUsFSwpkMqPAMARDUIFjLcYpj5tGbmqw%2BP6bhz49jZwbZ9S9k8Kd20QQLDdzFbdIz%2FJJ0OFyJFaI6mOcZ6HGOzAGxdi0tN8JL063CmJwi9FviX34m4FUrlxl0PgaBgIbrXJJfVp08yTrbq2tt99bINtCj9p%2F2TiZMMigCzYGa0WxwBgrEjxCBUici56obyLjsF%2B%2Fez8KGLwUdxVJuq9HZcpljX16lgjlaeg8hTpmUVNqubcUjzNKnBbGIBbJS6pT8nMo5ilAms3kxsAbElvsP0DqP2Ttt9KsEYIoBELpWxWDyHMocSDdUiCYMYDvJmAl5sUE%2BcDgiaiLMd6FrTJUmskFaTyEah8JPZsiru8WGL8ouLpx2rfqshkVQix%2Bz%2FOoyRIte64GalXsb5%2FJFX7J4UfxsVI3EUcMyrVrbqAtbVVB1x96q39f4Yo0goYpBJ6EmhWa31nx3WrUmskFaTyJah8iVSofNrqY2umHOeNsyIQ457ksUTnlP0dq4NfVyuLrpTKLlHy0sUp1UASq%2F2Txr2ASAiiwJvNYrVzBLjUbJ4BjlS0qbdE%2F%2FStUgAExAMyWG2jI2EFDd3qujNsWcPOesxquY6d1OOSmiMbId4YCTT%2BBEq0xDjRKACM8mO1HwF2mYm%2BDnRdrRRht5hUmRPHAeD4CdL3jwBEBQ3OheC84VE%2FXi2L1Q9fB14kOgFc%2F%2BzeVgmgJKuVTnzsPSh2iFoncY82uVrw14aH1%2FxCNVbszO4heYa0vDPk30uc%2F%2BOxv2LgBAAGdjSM8R548OvqoxHiUl0bYWyX7R8h1P5J22%2BHUIlAxXSl5FYDeZS67hHgTO%2F%2F2aoPbWy12r9JqFVifFsqsLYGbGtlJyq%2BV2TuBRrA3WTgs%2FAY70S30519XFebg19X3520%2BbakctBO2j%2BZ%2BNt23qsdwduyWCWnjjB1h%2FZvdWkqhPxKVhi3gMamh2Ilhn304xeIaTVJpVlsTp9FLRt3F9DPgvtmX1czbf4FSeXghcT9k4WXLYxtg8oYrLJRKZNTC7XWa7R%2Fq1RDCDfq7RltpDwixPTcjIdii1R87MYnptUktdKYn6Pz89ZSJj6l6k8NcA%2Bc9bqavvmF6jbdHqwW0vYP5%2Fq9dLGo7qVTrY5OXKnXr0yM7m3V%2BFzIAs4S0crEckCmBDOedY1UCmI3%2BtN0LjUucan0yDOycjD8PZk4VJDCB3%2B%2FqmmtSqlc68g2dUYKlLJ%2FUrgzMl73Gu3xESfFqorzwO0OsXiI4kmrCe%2FSRoQ4T3slOK2ea0qa001Tgci0E2TiQkVk5tHooO9XnYJDWcP3TzovT4xOL5dJixDqXz29gHhGRZTRIRogzT2l5mk6b8F%2BG5KhtyB5%2Fj%2B2mie3mie3mlvNk1vNk1vNk1vNk1vNrZbouy65VR8%2BsST3UJbGpopjJYZdoNsFXGOptDrpfAn9LGWvU5xaLJFvmr9Ycu3kzstYuiHrUuaUFsfGFg%2FyQOFa%2BHaCIAeHMNTnPgA%2FwSrnrg3UPPD%2B1R8AHnwQ%2BIEUq7xONv4w%2Brk7ex2vBhRhng9ks%2BoyGAXU6XYrROTzXnTg4PrRW3EAIQQI8tueVn3I%2BGarnNuoz4%2BOztdZ%2F%2Bpl4KWXgMspVnmdbHwWIgxm91XHA7JxiJ1A64jHvJg0WS0CmBqzWf3NLSG2NmGTnopCOm8l8RZKpNsDSbG0l1UfUXyjVcZLqE8EoGCirj1cC%2F20Eq3yOgjrML6wwHgLFoWxUGHzicx1iB4CQJy7Iee7S4biAw4QUM9k1XhodzE%2B1yRqzo2zk3YXkPZaZODoEJl48avVU5pVQQjFJltVUgHfZJX9N%2FDDuJ3Cerdr%2FasvA5icBPByolVeB6yO5B2go%2FOXdzpJLuAVVseuGOv0%2F2M%2Bce6EnO0uIRO3elPbciars9UyhSlXZ%2FkJvoVSCS3OaeNRCTi%2F59j7UGFc0J7XVSWVad2hpv5VEO9fPQXgwx8GcMr4CRybTHWg6ijungJOuRo%2Fhp%2BgMD%2BBw4Y6Xb3OrOSG1BTPdKxCJZNVfJn6%2BbKhTnMcGG9yTv%2B5Zrb6CQT4LLtQEAkBIRKtFgR2IgpZrDa8aEzvX60AQBAAQIVi6bdzEa9jA7aso3FnGph2NA58ncJ8HTBsz5%2FQ69QkD1OM9TmNju7yYsqxmtFqI46fo36eg8HSzwM%2Fb7L3fR6RkYPwfTdzQVBtOklWuT1ulfevCiH0%2FtV7sZt7zd1ovM5F4KKqozgBpHMA6BB1AIDNb0yuGOvIVPAk8YT1BztW3fq5rXMb9fZjcexEEwEHpjPw%2BLjxDPwH2xHgvIIPMy5EBqtCiBSr6f2rswAaQjQAzCbsFVYn2NwMVB3FCWD1AeC9RO8FADb%2FmZ6az7fzcf15%2BWr7BzhWnYnV5irr1gPtWCX9swSbQHOrXN5qck61ByTgfPY9DzUC%2Fs6GICfsbVXCFKtp%2FatL%2FY9pHQKAJUOZyUnwOnNzYR3GhWAcKmDzHbU9GfpsvfcpPsh11ZhNZXVTG5qbt6hJ8l%2FOT%2FeITPyjX6l9kG8mqe0cwGp6%2F%2BrdAHCd6Lr%2BewKopNbh3Gx1kDoET%2FHBrqvGzCmrc6QlGFFA480k3jxdZpsJEoCgeE8lhfdQQ2JocjKj1fT%2B1RoAvJ%2Fo%2FQBQS7fK63CeZjW9TsOrM14dHW%2Br%2Ban6vF3qZbJKyurBpGnQQpicNDY0E4aAXnQC73%2BNh3XZsv5V1ow6RzQnv4%2FyMjJZ6nDO64jMdaZHJxgvUHnZND%2Bh%2FuguHdXmU0KEUF8PPpES0esZG5pJDAkxdDPOk%2FdC5Mmt5smt5smt5smt5lbz5Fbz5Fbz5Fbz5FZzq%2BYGw13usyHXNjcHKKrHZwuvpKWLinmDsECGlAwdND5R2vIg39VWq0atfV5Y14fs2ryIktVqjbUepmUW9zI2CUyes9AlnvJZtEfiaAEL%2B7OabBqJQ619rSnT4jwKiCHaRaD08MdFvVDnWhVXWpm9jFYrEf5AwoYQz1INNQZ7QG91GJfJkH%2BGBzSyghWyJoUAhJi0SIXRAaw292W1eSBWE4uI3YAIGAOYVsWl1sGsvhLhY3FahN6SqXLs0xZKxud5QurmeQee0xGIRnrRD%2FVGFE6iJKIQj0gdYsjI1RCzKhErnWrVj3Hy0Y3OwCDaqx2Ya92%2FVeBYhK8DbLplAbcC7MT2vh%2FEMZPVyhraZAjgMGRe9S2RQiWJg519D%2BoMnPi4e1n1oReZJXLHKtJqNUFrNaZ1EKuzIswstzp%2B6dK44Vm%2B3Ah%2BCmiZ9%2FsDxFNBnX6%2FrTYVHuwMvJBmdcFs1YdmtYp7yLVRdEFUSNBaiGsdwKqKxq0vAF%2BwuNVTn%2B68buH7uQqxdRYnXWL5XXxtYKtChfHEgcHPwKEeSixPJO3BZHVdt1oQc64NwEZM3zqpxPn6%2Bpth9fiLwIvHmdUOwswaVDTPb%2BB%2BYnkYP3dwx2rmu6XWQZyBhdgogHj5XYTChhCm%2BoWqZtXttn4EYW7Wpy%2Beqbi%2FXshk1dqy9mMVH9ja%2BgCY1YcsIcQW0DGp%2BGkcJpYbeGlfVktAaXCrzYM5A6%2FQ3lZpJWE7C9UYr0wBP4kwSh%2BTKrmSmsWqNdwctrhV0Q%2B3ipMnway6eF7usjYe4lZbpRpeIBbge%2FZlVZnI0nyXOjD4PTCHu8hk26tvh6gQ5ypKH5MacSWVW63G9VnDTriYLnNRhEyLdWSaWzLX8AU5%2Fkn98zpXwW6X1Mj%2F0NkCFhKOym0emVgYbKXag74HNtchGGyPTmyH2VbZ1adLVbykpGpW41xKJalV34qd30KwjkxjS2YX4WLXFfY%2BFmEakz3SYpt%2BH7lSXWFHJVud%2BvfXanNAqzxpj1vQpSpeLmQ7VUmpUivrTw9EmDJlyty25SD6oVHD404zqTQiMaOF3R%2FS%2BIboZ6Mw4PrDB3UGFpRchxTkSX3cwePQd0ZW2P8ZNHkvRJ7cap7cap7cam41T241T241T241T241t%2Bq2aOAs0rdVcquuXawYFrpdTF6%2Fl6eDJUqOu0SDxvdpH8mtus8eR9HUnQ3ftK4vANslPSdxisOlKcjZ8uc6jI9Ryzy%2FWKEuq%2BUn9KOHW5VA%2BVASn%2BrQAcR2wy%2FJvAWwoYjyuD4vFDnwTdi33ZhV1z55ybJYx0B9sw2UDOvrRqK0dAHcZ16C2xp2T1ywntO4d3aCcJXPH696M4EPm0s1aQWkISRQPpTEgcUWGQKAkLknBtIRlFbGm6yUokyeHDJyGLT6QKRVTcPJS8P6Wq%2F1ibnlNg4b1tcFwHR3jOunn8KmEGLkhG3fMeJofPR8yQcWXX1%2BuTAa%2BMAFTWpBAKLAtALSEBIoH0riAIrdwa1KEVA2OAfMQyZ5csjM14llHX2tahqOX2PLSr0%2F6kkwrK9r6ts%2BFcKaq1eZix7h%2BAnG%2B4uZr%2Bl8oUK%2B3p3hLiJURVhkjyANgQzUOJTEIWN3BrUqRSgbBs5KKcrlySHOE1tXIq1qGl8V1MPh0KJlWF%2FX0AVYQjuk9xuvb7CGTzB%2BP6w6UL1D4wsoLrLttrEbW7cRjpGR8iFXcaMl3x3UKmxlw8BZKUWZPF6IS%2BVauVSVNjDWHQMu8PWBI6u1%2BEFc%2FaTBNQE7Um3Gf3RrZMIbLzgaf6cHKTV%2Bgr%2BgrF4w2iAj5UNrGmeWpga2GmXNzHkpjbKXsc22v5HUutIAsDbEpao8gCg%2FxtcHJsn19XV%2F7kGE4VafkvVtMF5oEp0ul3QezHhSKvTXYfSpJ%2FY6BSylSKd86A7FjZaqzwxsNXqEOxI4K2WmI2InI3z7fTLGDx93KHxLY5ZKvQ3IbDYN6wMDgLa%2Brnf5i16C1Y%2BMb9cHGJdp%2BpwHMxsFAkjTGg3qUgkYlo7MlA85ihssWZMFZ1Cr1rA6TgycWzVTFcP2%2B4lSh50hoqfkWxopleddFoD6nGl9YAD6%2BrptrB2SuE6xNNClubLjdtFgfDtmHqworrRG72x0qQSEokzUOJTEw7daI71B75akTyXVwFkpTrlVrjVZ6hDRZZy8ZJZKzkUPjTNkWh%2FYsJL%2BxzzIeLfH8Z3YyZ0D8eS2ZSAUlUD5UBIH2qfPD%2F7ORvpUUg2clTJTocK33%2FzOpi91iFqwfvCaQ%2BYEM43H1FjKerzN01UPqJ4O4nj1XAMyjXOrA%2FHktmUgFJVE%2BZBELueNyeVmQk8mZW7dJ2nI5VIljwaZP0Z5uFZzU34kdYiubY2cdygpwbRylLoeb7MwKkSB7ZjVaSEzvToYT25bFkK1IXPKh0LkcD7dowNIVNkx8ugLO%2FY4TddqbsqPpA6R06TvvORxEnDeCzFo8l6IPLnVPLnVPLnV3Gqe3Gqe3Gqe3Gqe3Gpu1dzf%2B5Zx1ShxcPUHT2uqktR9uN%2F4ST9UWThIq65taI95S7gaAsyddTWPzc%2FCB85JnHT3ZdVuUULel2C1UsTCYK8at0XAUMsNrdqm9pi9uQd4%2B5kPq569Prk%2BgOISkaEPeXS%2BDns%2FfJzXJ2oplMnGAoC1fVlV28%2FkGVX529x750BW5YcvgEox7EYrAYAQrL835ICJW09Xq09b5vkNGPi5kYl5jbPHVVmrjQMfqpWI9SE%2FQvTIRB0lnQdEgZlXarw%2BLRVBaTZ4o3opu9XOVQALCVK9%2BaqxkjcTDGT12RqKQBG1Z4eIDgMAEevvlVyGc2%2FYKRScYc8033pmHIxbq1crgZWxPrm4qwyc%2F1CN9D7kCnwfldtxTOPRRxc4j3biuOLqyKOEmGy0apCptTJa7RYRxnTc3yvlFYxWpdRBrDZnPIQvjuYQUQ0QgkgIredTchnOo5PRGufWZH3Y%2BVmPceDUZ12Ac1ld5zt%2FBF1G60MOqkA1CLxZjdPVlo01zkOpM%2BU4b9kpa5oxGyf7%2FGQ2qz5UCyrLyoaSp1V6KKVtKfvirkNEDWCH1khlL74u8Trnl3oTTqXIOXBnbw0mTgSdQ6bXg4zeh7wePrZX0%2FjVsF%2BS8UhqoPEppFhlNkaEAKA3cJJtvi3oYCfWY4a73BUu1Q%2Bri8JBWj0UjbP%2BXsllOPfCRtc7PJ3L%2B8RKMXsd8%2BOKKzgngMmqJ4TWh1xBtSq%2FHtL4j1uyC4vxUiRV449ZKVa5DfNBecmDjHcpjh9FYyM81VSHg5S7XHZXPJBVMe9J2JgXQ0Rvi8ZZf2%2FIARO3Xd93bc5hd4rmOkIYuSASOienWisBf7J2F%2Bl9yMF8oTAfHNHrHHGGq8MOMY5Qqs6D4SqApHUDlY1Uq803IPNGM46xOb3S60F9JIHd5Wa7K%2B5vjcj8B%2Bdbxei9SbE1FPb3yrD%2B3r14ESgmzR%2BUE93xaQC1u8q8D1neA4%2FxOmO%2FUHAqBo67AmKcnMK4B0qIspFqlVY3AGysanRzTgJrppx2l8vvige7W7pmeTPAjGddG%2Br394L19751nJzCFeDpsrEPucjmZ%2BdK%2BIxFhjAbKVZpxYK1osO56MGDlLtcdlc8sFVn%2BHQABKdl735Cf%2B9bwtUQwOBB1g%2BGiYfZSLVKFxuXyBwn5S6X3RUPbpWcJgkx1JS9%2Bwn9vW8lZ82xB1%2BfiU4ZEOYNCqablDXqLlfXGuz1M3kvRJ7vZKt5cqu51Ty51Ty51Ty51Ty51Ty51dxqntyqe5W%2BrZP3A3dhd4g6NrpkSqc7BibV%2FgjtM4twDXRsjIyxYXMI9dUcn7Lk1VdfVd%2FexFSAA18nOXs%2F8GGrhoUF1KzDxOyVbAAvMKv34RNkSGdxbGyxY%2Bb%2F%2Bs84xFKCefnoFoCUngEebT3LoppfjM265ZZb1Lc3Ma94IgbcItsUxlPWSWZWk%2Fty8fyMBXgzzzN5lSkAaH%2BNDdTwx2jM1aC7iDCLrpE%2F0XLZ86kBNZd4mvuwiv5f%2FAwt2sb5yGrV9d3kA8b3GfUN9Yus0YdvTzrn6ySbrZYAWEJYAEqs6tGjkDG8iBrjj8Mj1oh1N71g8xZ6dTLg%2FHvvk1w75Ot13JexOUCoMNvFViQVFzJYnZubU9%2F44svmAyb6ptNCFWHM%2FVvvT9p%2BkdFqtE4y36DIqi%2BtHo6a%2FGp6X64AgNtuAwBBsawB3tnpf6e%2F6Ih%2BE8DCC9p1%2BAjaaABAFUdM%2FE%2F9Zcm1C8%2FHPw5UiMUF4GY8VoWY96zXZfuIQLWQwSoA9S198WX3BqRAH8AN7TBadAv8L36%2Fhp28lO1YbTDbKuaO1cgq%2FKFIJ1yXrwGrrLLzrHX661PsRbfUbQKsTBfWu%2FHRNoAfs9Dl%2FI87KxZ7HWwCm8o1270Zr6vB6T8ddRkqqZmtmhdf5qsJTmktOoVJQCw7hl3%2F09jJV7JZ%2FWAJKsUUq%2FrfgG4AwFNP8fV%2Bj27nttvkV%2F1Qsi4egcwXY%2FzyjxKssFqLVB7Edae%2B9gBQb17Hgzfz49v8d%2FAXiUKuUkLjV4FfbaBkasYDipUYhdj9h7T8QhHe2%2F820TrtzyqX2kjSyhYX7QHmXf%2Bz6KfRzGS1UT4FlXtSra6ryevJ%2Fbp0224ols96zxchU9c3bwrX7wSA10llro7umXcA9TNd1Odi3Jf8E%2BTHOLk1fMZpt53PoObqUtsA2kpryrFakVJPFivqHjijVSa1Ol2VWolpZVKJkqwGHqI8SZmsfrADFXzRZJWvnyyDaoH166afgXuHEMY7wzfvhVUA6N2Mz1i4f0KIiadgndH4kY9b6HU1fh%2FaPXr8ceq1tcWwi965ZQDL57xilmM1%2BszJb9b023sPO9Hu9uqA36n4QDum7gLkbipUgQvEtTKpBCTcqI6KMN4ns1ktPwqVapNb5Vqj62q1wPqB0626dv%2Fm52mHLeiOBypyRHvqbUwtLEyhPezEeRXAn22hGuMdeB%2BLtvpjHjqx%2BqdXZfXK6ul20rHK%2B2%2FDjxTFhIwKwLoiZEbJ2Nb%2BOFvnVH3TtUYbzy35ScveVvCJbFZbUMGXs7yzKURWC0OsHzjdqn18a1rMzwvWDP2xBsZ7D7GVyclZnnzyHe94cnLZ0Xhh8vfwR1%2FU1s4%2BiSj880rLTYrelzeXsxyr0lpAFIyyNd1hXuS6XEeYepmvc6q%2B6c%2BBVYLSKqVyTc9ls3ofVKxeyjrJrBeC9c2mWD0%2B3CQKAmJpPrNVJlisDlFveWJiuUfE%2BGv4B804ryCWCsXSmBfzjf3%2Fbiku1Y2k8pzZ8ABv4wwNFBGlwF4HTYFtDuFks1qDyvNp6yRzq6pvlm%2Fe6ip7uzTs7NFlTGKkTNmzIgKNBCIWbXg6oGA6bclrngJbG9gYZ2VUiNEVh96sCCmdwYQnMCpUmJtC4YB7IRz67kneC5Ent5ont5ont5ont5pbzZNbzZNbzZNbzZNbXZhaiIPcagtRii5ljQsYJy%2B4rnn3dlGkNzH4KFomHIbz0liR9T8fKF%2BcmlqUnMcdA7qUKXt0xNqAbZgeWu3%2FwFfRz4%2BQKa2rLUOTAYoV0%2FK0tg1qceFu7SzMi58i4Ul2i6a9VUzYIWiimdnqm7%2Fu8amv3XPna5LzHEFjck6C9P7kvZrRhICBhVZFNPYw%2BnmYWNzSGH7lGjR6yrhW47OwJbfxLOm53%2FspZhX4w8AFcXTDcJh1pn7jDRAL3viNqY7RK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<h1 class="title">MLProject</h1>
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<p>Let’s see if we can find a model for predicitng if the exercise is being done correctly..</p>
<p>First load the data and strip any zero values, and any values that aren’t contributing:</p>
<pre class="r"><code>library(ggplot2);</code></pre>
<pre><code>## Warning: package 'ggplot2' was built under R version 3.1.3</code></pre>
<pre class="r"><code>library(caret)</code></pre>
<pre><code>## Loading required package: lattice</code></pre>
<pre class="r"><code>library(plyr)
library(rattle)</code></pre>
<pre><code>## Rattle: A free graphical interface for data mining with R.
## Version 3.4.1 Copyright (c) 2006-2014 Togaware Pty Ltd.
## Type 'rattle()' to shake, rattle, and roll your data.</code></pre>
<pre class="r"><code>library(doMC)</code></pre>
<pre><code>## Loading required package: foreach
## Loading required package: iterators
## Loading required package: parallel</code></pre>
<pre class="r"><code>registerDoMC()
set.seed(1234)
src_test <- read.csv("/Users/aaronbrady1/ocw/data_science/machine_learning/project/data/pml-testing.csv", header = TRUE)
src_train <- read.csv("/Users/aaronbrady1/ocw/data_science/machine_learning/project/data/pml-training.csv", header = TRUE);
# strip NA columns out
na_cols <- colSums(is.na(src_train))
src_train <- src_train[,na_cols == 0]
src_test <- src_test[,na_cols == 0]
na_cols <- colSums(is.na(src_test))
src_train <- src_train[,na_cols == 0]
src_test <- src_test[,na_cols == 0]
# we don't need the id or name or timestamps
removeCols <- function(names) {
src_train <<- src_train[,!(c(names(src_train) %in% names))]
src_test <<- src_test[,!(c(names(src_test) %in% names))]
}
removeCols(grep('timestamp',colnames(src_test), value=T))
removeCols(c('X', 'user_name', 'new_window', 'num_window'))
# how we doing for near zero values?
print(nearZeroVar(src_train));</code></pre>
<pre><code>## integer(0)</code></pre>
<p>Okay, we’ve gotten rid of all superficially unimportant data, and nearZeroVar came up with nothing, so good!.</p>
<p>Now that we have the data we want, create the partitions:</p>
<pre class="r"><code>set.seed(1234)
inTrain <- createDataPartition(src_train$classe, p = .8, list=FALSE)
training <- src_train[inTrain,]; testing <- src_train[-inTrain,]</code></pre>
<p>First up, let’s try a rpart tree because they are easy to understand and print nicely:</p>
<pre class="r"><code>set.seed(1234)
rpartFit <- train(classe~.,method='rpart',data=training);</code></pre>
<pre><code>## Loading required package: rpart</code></pre>
<pre class="r"><code>print(rpartFit$finalModel);</code></pre>
<pre><code>## n= 15699
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 15699 11235 A (0.28 0.19 0.17 0.16 0.18)
## 2) roll_belt< 130.5 14383 9931 A (0.31 0.21 0.19 0.18 0.11)
## 4) pitch_forearm< -33.95 1248 6 A (1 0.0048 0 0 0) *
## 5) pitch_forearm>=-33.95 13135 9925 A (0.24 0.23 0.21 0.2 0.12)
## 10) magnet_dumbbell_y< 439.5 11117 7968 A (0.28 0.18 0.24 0.19 0.11)
## 20) roll_forearm< 122.5 6873 4065 A (0.41 0.18 0.18 0.17 0.06) *
## 21) roll_forearm>=122.5 4244 2852 C (0.08 0.18 0.33 0.23 0.18) *
## 11) magnet_dumbbell_y>=439.5 2018 1003 B (0.03 0.5 0.042 0.23 0.19) *
## 3) roll_belt>=130.5 1316 12 E (0.0091 0 0 0 0.99) *</code></pre>
<pre class="r"><code>fancyRpartPlot(rpartFit$finalModel)</code></pre>
<p><img 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" title alt width="672" /></p>
<pre class="r"><code>rpartPred <- predict(rpartFit, newdata=testing)
summary(rpartPred)</code></pre>
<pre><code>## A B C D E
## 2065 511 1018 0 329</code></pre>
<pre class="r"><code>confusionMatrix(rpartPred,testing$classe)</code></pre>
<pre><code>## Confusion Matrix and Statistics
##
## Reference
## Prediction A B C D E
## A 1025 310 325 290 115
## B 20 271 23 102 95
## C 69 178 336 251 184
## D 0 0 0 0 0
## E 2 0 0 0 327
##
## Overall Statistics
##
## Accuracy : 0.4994
## 95% CI : (0.4836, 0.5151)
## No Information Rate : 0.2845
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.3451
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: A Class: B Class: C Class: D Class: E
## Sensitivity 0.9185 0.35705 0.49123 0.0000 0.45354
## Specificity 0.6295 0.92415 0.78944 1.0000 0.99938
## Pos Pred Value 0.4964 0.53033 0.33006 NaN 0.99392
## Neg Pred Value 0.9510 0.85698 0.88021 0.8361 0.89037
## Prevalence 0.2845 0.19347 0.17436 0.1639 0.18379
## Detection Rate 0.2613 0.06908 0.08565 0.0000 0.08335
## Detection Prevalence 0.5264 0.13026 0.25950 0.0000 0.08386
## Balanced Accuracy 0.7740 0.64060 0.64033 0.5000 0.72646</code></pre>
<p>Ugh, rpart is not very good. 57% accurate. let’s try boosting to get some key features:</p>
<pre class="r"><code>set.seed(1234);
gbmFit <- train(classe ~ ., method="gbm",data=training,verbose=FALSE)</code></pre>
<pre><code>## Loading required package: gbm</code></pre>
<pre><code>## Warning: package 'gbm' was built under R version 3.1.3</code></pre>
<pre><code>## Loading required package: survival
## Loading required package: splines
##
## Attaching package: 'survival'
##
## The following object is masked from 'package:caret':
##
## cluster
##
## Loaded gbm 2.1.1</code></pre>
<pre class="r"><code>summary(gbmFit)</code></pre>
<p><img 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" title alt width="672" /></p>
<pre><code>## var rel.inf
## roll_belt roll_belt 22.3198467
## pitch_forearm pitch_forearm 10.7487812
## yaw_belt yaw_belt 8.4474295
## magnet_dumbbell_z magnet_dumbbell_z 7.7064731
## magnet_dumbbell_y magnet_dumbbell_y 6.3646577
## roll_forearm roll_forearm 4.6273659
## magnet_belt_z magnet_belt_z 4.0461978
## roll_dumbbell roll_dumbbell 3.4138967
## gyros_belt_z gyros_belt_z 3.0515055
## pitch_belt pitch_belt 2.6731955
## accel_forearm_x accel_forearm_x 2.5415391
## magnet_forearm_z magnet_forearm_z 2.4146177
## gyros_dumbbell_y gyros_dumbbell_y 2.2243675
## accel_dumbbell_y accel_dumbbell_y 1.9284495
## accel_dumbbell_x accel_dumbbell_x 1.8584779
## accel_forearm_z accel_forearm_z 1.7306543
## yaw_arm yaw_arm 1.3709726
## magnet_arm_z magnet_arm_z 1.2106224
## roll_arm roll_arm 1.0206263
## magnet_arm_x magnet_arm_x 0.9172204
## accel_dumbbell_z accel_dumbbell_z 0.8646804
## magnet_belt_y magnet_belt_y 0.8449430
## magnet_belt_x magnet_belt_x 0.8363704
## magnet_dumbbell_x magnet_dumbbell_x 0.8308878
## magnet_forearm_x magnet_forearm_x 0.7673637
## accel_belt_z accel_belt_z 0.6545404
## magnet_arm_y magnet_arm_y 0.6223349
## total_accel_dumbbell total_accel_dumbbell 0.6144934
## gyros_belt_y gyros_belt_y 0.5669822
## accel_arm_x accel_arm_x 0.5584667
## gyros_arm_y gyros_arm_y 0.4938171
## gyros_dumbbell_x gyros_dumbbell_x 0.4536457
## magnet_forearm_y magnet_forearm_y 0.2529316
## accel_forearm_y accel_forearm_y 0.2042467
## gyros_dumbbell_z gyros_dumbbell_z 0.2003007
## total_accel_forearm total_accel_forearm 0.1997011
## accel_arm_z accel_arm_z 0.1586373
## gyros_forearm_z gyros_forearm_z 0.1490166
## accel_arm_y accel_arm_y 0.1097432
## total_accel_belt total_accel_belt 0.0000000
## gyros_belt_x gyros_belt_x 0.0000000
## accel_belt_x accel_belt_x 0.0000000
## accel_belt_y accel_belt_y 0.0000000
## pitch_arm pitch_arm 0.0000000
## total_accel_arm total_accel_arm 0.0000000
## gyros_arm_x gyros_arm_x 0.0000000
## gyros_arm_z gyros_arm_z 0.0000000
## pitch_dumbbell pitch_dumbbell 0.0000000
## yaw_dumbbell yaw_dumbbell 0.0000000
## yaw_forearm yaw_forearm 0.0000000
## gyros_forearm_x gyros_forearm_x 0.0000000
## gyros_forearm_y gyros_forearm_y 0.0000000</code></pre>
<pre class="r"><code>gbmPred <- predict(gbmFit, newdata=testing)
summary(gbmPred)</code></pre>
<pre><code>## A B C D E
## 1125 767 688 635 708</code></pre>
<pre class="r"><code>confusionMatrix(gbmPred,testing$classe)</code></pre>
<pre><code>## Confusion Matrix and Statistics
##
## Reference
## Prediction A B C D E
## A 1100 21 0 0 4
## B 10 727 22 2 6
## C 2 10 654 19 3
## D 3 0 8 618 6
## E 1 1 0 4 702
##
## Overall Statistics
##
## Accuracy : 0.9689
## 95% CI : (0.963, 0.9741)
## No Information Rate : 0.2845
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9607
## Mcnemar's Test P-Value : 0.001416
##
## Statistics by Class:
##
## Class: A Class: B Class: C Class: D Class: E
## Sensitivity 0.9857 0.9578 0.9561 0.9611 0.9736
## Specificity 0.9911 0.9874 0.9895 0.9948 0.9981
## Pos Pred Value 0.9778 0.9478 0.9506 0.9732 0.9915
## Neg Pred Value 0.9943 0.9899 0.9907 0.9924 0.9941
## Prevalence 0.2845 0.1935 0.1744 0.1639 0.1838
## Detection Rate 0.2804 0.1853 0.1667 0.1575 0.1789
## Detection Prevalence 0.2868 0.1955 0.1754 0.1619 0.1805
## Balanced Accuracy 0.9884 0.9726 0.9728 0.9780 0.9859</code></pre>
<p>Okay, 97% accurate on the test set. not too bad. Looking at this data though, there are quite a few columns that don’t contribute anything, let’s get rid of those.</p>
<pre class="r"><code>removeCols(c('total_accel_belt','gyros_belt_x','accel_belt_x','accel_belt_y','pitch_arm'))
removeCols(c('total_accel_arm','gyros_arm_x','gyros_arm_z','pitch_dumbbell','yaw_dumbbell'))
removeCols(c('yaw_forearm','gyros_forearm_x','gyros_forearm_y'));
# re-grab the traing/testing data with columns removed
training <- src_train[inTrain,]; testing <- src_train[-inTrain,]</code></pre>
<p>Let’s try a random forest with 3 part cross-validating resampling</p>
<pre class="r"><code>rfFit <- train(classe~.,method='rf',data=training, trControl = trainControl(method="cv",number=3));</code></pre>
<pre><code>## Loading required package: randomForest
## randomForest 4.6-10
## Type rfNews() to see new features/changes/bug fixes.</code></pre>
<pre class="r"><code>rfPred <- predict(rfFit,newdata = testing);
summary(rfFit)</code></pre>
<pre><code>## Length Class Mode
## call 4 -none- call
## type 1 -none- character
## predicted 15699 factor numeric
## err.rate 3000 -none- numeric
## confusion 30 -none- numeric
## votes 78495 matrix numeric
## oob.times 15699 -none- numeric
## classes 5 -none- character
## importance 39 -none- numeric
## importanceSD 0 -none- NULL
## localImportance 0 -none- NULL
## proximity 0 -none- NULL
## ntree 1 -none- numeric
## mtry 1 -none- numeric
## forest 14 -none- list
## y 15699 factor numeric
## test 0 -none- NULL
## inbag 0 -none- NULL
## xNames 39 -none- character
## problemType 1 -none- character
## tuneValue 1 data.frame list
## obsLevels 5 -none- character</code></pre>
<pre class="r"><code>rfPred <- predict(rfFit, newdata=testing)
summary(rfPred)</code></pre>
<pre><code>## A B C D E
## 1120 758 683 641 721</code></pre>
<pre class="r"><code>confusionMatrix(rfPred,testing$classe)</code></pre>
<pre><code>## Confusion Matrix and Statistics
##
## Reference
## Prediction A B C D E
## A 1116 4 0 0 0
## B 0 754 4 0 0
## C 0 1 679 3 0
## D 0 0 1 640 0
## E 0 0 0 0 721
##
## Overall Statistics
##
## Accuracy : 0.9967
## 95% CI : (0.9943, 0.9982)
## No Information Rate : 0.2845
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9958
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: A Class: B Class: C Class: D Class: E
## Sensitivity 1.0000 0.9934 0.9927 0.9953 1.0000
## Specificity 0.9986 0.9987 0.9988 0.9997 1.0000
## Pos Pred Value 0.9964 0.9947 0.9941 0.9984 1.0000
## Neg Pred Value 1.0000 0.9984 0.9985 0.9991 1.0000
## Prevalence 0.2845 0.1935 0.1744 0.1639 0.1838
## Detection Rate 0.2845 0.1922 0.1731 0.1631 0.1838
## Detection Prevalence 0.2855 0.1932 0.1741 0.1634 0.1838
## Balanced Accuracy 0.9993 0.9961 0.9957 0.9975 1.0000</code></pre>
<p>99% accurate. pretty good!</p>
<p>Random forest with our removed features seems good, let’s apply it to our test data. this is just for the assignment:</p>
<pre><code>## A B C D E
## 7 8 1 1 3</code></pre>
<p>Result: every assignment answer predicted correctly, yay!</p>
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