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閫昏緫鍥炲綊鏄満鍣ㄥ涔犱腑缁忓父鐢ㄥ埌鐨勪竴绉嶆柟娉曪紝鍏跺睘浜庢湁鐩戠潱鏈哄櫒瀛︿範锛岄?昏緫鍥炲綊鐨勫悕瀛楄櫧鐒跺甫鏈?“鍥炲綊”浜屽瓧锛屼絾瀹為檯涓婂畠鍗村睘浜庝竴绉嶅垎绫绘柟娉曪紝鏈枃灏变粙缁嶄竴涓嬪浣曠敤閫昏緫鍥炲綊杩涜鍒嗙被銆?
閫昏緫鍥炲綊涔嬫墍浠ュ彨“閫昏緫”锛屾槸鍥犱负鍏朵娇鐢ㄤ簡Logistic鍑芥暟(涔熺ОSigmoid鍑芥暟)锛岃鍑芥暟褰㈠紡濡傚浘2涓紡(1)鎵?绀猴紝鍥惧舰濡傚浘1鎵?绀恒?傛棦鐒堕?昏緫鍥炲綊鏄垎绫绘柟娉曪紝閭ｄ箞鎴戜滑杩欓噷灏变互鏈?绠?鍗曠殑浜屽垎绫绘潵璇存槑涓?涓嬶紝浜屽垎绫荤殑杈撳嚭鏍囪涓? y=0鎴?1锛岃?岀嚎鎬у洖褰掍骇鐢熺殑棰勬祴鍊紌 = ω^Tx+b锛屾垜浠t=z锛屾妸z鐨勮〃杈惧紡甯﹀叆鍒板紡(1)涓緱鍒板紡(2)锛屽啀鍋氬彉鎹㈠氨寰楀埌寮?(3)銆倅鏄垜浠姹傜殑姝ｄ緥锛?1-y鍒欐槸鍙嶄緥锛屼簩鑰呮瘮鍊煎垯鍙О涓哄嚑鐜囷紝鎵?浠ュ紡(3)鍙互绉颁綔“瀵规暟鍑犵巼”銆傛帴涓嬫潵鎴戜滑瑕佹眰瑙?ω鍜宐锛岀敤鐨勬槸鏋佸ぇ浼肩劧浼拌娉曘?傛垜浠皢y瑙嗕负鍚庨獙姒傜巼浼拌p(y=1x)锛岄偅涔堝氨鍙互寰楀埌鍥?3涓殑寮?(4)鍜?(5)銆傛帴涓嬫潵浠?β=(ω;b)鍜寈=(x;1)锛屽彲寰楀埌寮?(6)锛岀敱寮?(6)鐨勫緱鍒板浘4涓?(7)銆?(8)鍜?(9)锛?(9)灏辨槸鐩爣鍑芥暟锛屽鐩爣鍑芥暟姹傝В寰楀埌鏈?浼樺弬鏁板嵆鍙?傝繖浜涙帹瀵兼瘮杈冨鏉傦紝绗旇?呭湪杩欓噷浠呭垪鍑轰簡涓昏閮ㄥ垎锛屽ぇ瀹跺鏋滄湁鍏磋叮锛屽彲鑷鏌ラ槄鐩稿叧璧勬枡銆?
鍦ㄤ簡瑙ｉ?昏緫鍥炲綊鐨勫熀鏈師鐞嗕箣鍚庯紝鎴戜滑鍐嶇敤涓?涓緥瀛愭潵浠嬬粛涓?涓嬮?昏緫鍥炲綊鐨勭敤娉曘??
鏈枃涓垜浠娇鐢ㄧ殑閫昏緫鍥炲綊妯″瀷鏉ヨ嚜scikit-learn锛岀敤鍒扮殑鏁版嵁闆嗕篃鍚屾牱鏉ヨ嚜浜巗cikit-learn锛屼唬鐮佸涓嬨??
鍏剁粨鏋滃鍥?5鎵?绀恒?傝繖涓暟鎹泦鏄垜浠敤make_classification鏂规硶鐢熸垚鐨勶紝鍏?100涓偣锛屼竴鍏变袱涓壒寰?(缁村害)锛屾墍鏈夋暟鎹叡鍒嗕负涓や釜绫汇?備粠鍥句腑鍙互鐪嬪嚭绱壊鐨勭偣鍒嗕负涓?绫伙紝榛勮壊鐨勭偣鍒嗕负鍙︿竴绫汇?傜劧鍚庡鏁版嵁闆嗚繘琛屼竴涓嬪垝鍒嗭紝鍒嗕负璁粌闆嗗拰娴嬭瘯闆嗭紝浠ｇ爜濡備笅銆俋_train, X_test,y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=30)
鍦ㄨ繖閲岋紝鎴戜滑璁剧疆娴嬭瘯闆嗙殑鏁版嵁涓暟涓?30涓紝闅忔満鐘舵?乺andom_state涓?30锛岃繖涓暟瀛楀彲浠ラ殢鎰忚缃?傛帴涓嬫潵鎴戜滑鐢ㄩ?昏緫鍥炲綊鏉ヨ繘琛屼竴涓嬭缁冨拰棰勬祴锛岀粨鏋滅敤classification_report鏂规硶杈撳嚭銆?
缁撴灉濡傚浘6鎵?绀恒?備粠鍥?6涓垜浠彲浠ョ湅鍑鸿妯″瀷鐨刟ccuracy涓?0.97锛屽洜涓烘垜浠殑娴嬭瘯鏁版嵁鍏辨湁30涓紝鎵?浠ヨ繖鎰忓懗鐫?鎴戜滑鍙湁1涓偣棰勬祴閿欎簡锛岃鏄庤妯″瀷鐨勫垎绫绘晥鏋滆繕鏄潪甯镐笉閿欑殑銆?
鐒跺悗涓轰簡璁╁ぇ瀹跺璇ユā鍨嬬殑鍒嗙被鏁堟灉鏈変竴涓繘涓?姝ョ殑浜嗚В锛岀瑪鑰呭湪杩欓噷鍐嶆繁鍏ョ爺绌朵竴涓嬶紝鎴戜滑鍐嶆潵鐪嬬湅閫昏緫鍥炲綊妯″瀷鐨勫垎绫昏竟鐣岋紝鍗宠妯″瀷鏄粠鍝噷寮?濮嬭繘琛屽垝鍒嗙殑锛屼唬鐮佸涓嬨??
杩欓噷浠ｇ爜鏈変簺澶嶆潅锛岃В閲婁竴涓嬨?傛垜浠殑璁捐鎬濊矾鏄繖鏍风殑锛屽洜涓烘湰娆′娇鐢ㄧ殑閫昏緫鍥炲綊妯″瀷鏄竴涓簩鍒嗙被妯″瀷锛屼篃灏辨槸灏嗙粨鏋滃垎涓轰簡涓や釜绫伙紝閭ｄ箞鎴戜滑鎶婃ā鍨嬩腑姣忎釜绫荤殑鍖哄煙鐢ㄤ竴绉嶉鑹叉爣鍑猴紝杩欐牱灏辨湁涓ょ棰滆壊銆傝惤鍏ユ瘡涓尯鍩熺殑鐐瑰氨灞炰簬杩欎釜鍖哄煙锛屼篃灏辨槸杩欎釜绫汇?倄_mesh, y_mesh = np.meshgrid(np.arange(x_min, x_max, step), np.arange(y_min, y_max, step))杩欒浠ｇ爜灏辨槸寰楀埌鏁翠釜鍖哄煙(涔熷氨鏄袱涓被鐨勫尯鍩熶箣鍜?)鐨勭偣锛岃繖涓尯鍩熸瘮鎴戜滑鐢ㄥ埌鐨勬暟鎹泦鐨勮寖鍥村ぇ涓?浜涳紝x_min銆亁_max銆亂_min銆亂_max灏辨槸鏁翠釜鍖哄煙鐨勮竟鐣屻?俤ata_mesh = np.stack([x_mesh.ravel(), y_mesh.ravel()], axis=-1) 杩欒浠ｇ爜灏辨槸鎶婁笂闈㈡暣涓尯鍩熶腑鐨勭偣杞崲涓?2鍒楃殑鏁版嵁锛屼究浜庡悗闈㈤娴嬶紝Z = model.predict(data_mesh)灏辨槸鍖哄煙姣忎釜鐐圭殑棰勬祴鍊硷紝鎴戜滑鍐嶇敤plt.pcolormesh鍜宲lt.scatter鍒嗗埆鐢诲嚭鍖哄煙棰滆壊鍜屾暟鎹偣鐨勯鑹诧紝灏辫兘娓呮鐪嬪埌閭ｄ簺鐐瑰湪鍝釜鍖哄煙涓?傚叾缁撴灉濡傚浘7鎵?绀恒??
浠庣粨鏋滀腑鍙互鐪嬪嚭锛屾湁涓?涓豢鑹茬殑鐐硅惤鍏ュ埌浜嗛敊璇殑鍖哄煙涓紝璇存槑杩欎釜鐐归娴嬮敊浜嗭紝杩欏拰鎴戜滑鍓嶉潰classification_report寰楀埌鐨勭粨鏋滀竴鑷淬??
閫昏緫鍥炲綊鍦ㄦ満鍣ㄥ涔犱腑鐨勪娇鐢ㄩ潪甯稿箍娉涜?屼笖鏁堟灉涔熶笉閿欙紝浣嗗叾涔熸湁涓?浜涚己鐐癸紝姣斿涓嶈兘瑙ｅ喅闈炵嚎鎬ч棶棰樸?佸澶氶噸鍏辩嚎鎬ф暟鎹緝涓烘晱鎰熴?佸緢闅惧鐞嗘暟鎹笉骞宠鐨勯棶棰樼瓑銆傚叾鍘熺悊涔熻姣旂瑪鑰呬粙缁嶇殑澶嶆潅涓嶅皯锛屾兂瑕佹繁鍏ヤ簡瑙ｇ殑璇昏?呭彲浠ヨ嚜琛屾煡鎵剧浉鍏宠祫鏂欐潵瀛︿範銆?
浣滆?呯畝浠嬶細Mort锛屾暟鎹垎鏋愮埍濂借?咃紝鎿呴暱鏁版嵁鍙鍖栵紝姣旇緝鍏虫敞鏈哄櫒瀛︿範棰嗗煙锛屽笇鏈涜兘鍜屼笟鍐呮湅鍙嬪瀛︿範浜ゆ祦銆?
姣忔棩澶存潯銆佷笟鐣岃祫璁?佺儹鐐硅祫璁?佸叓鍗︾垎鏂欙紝鍏ㄥぉ璺熻釜寰崥鎾姤銆傚悇绉嶇垎鏂欍?佸唴骞曘?佽姳杈广?佽祫璁竴缃戞墦灏姐?傜櫨涓囦簰鑱旂綉绮変笣浜掑姩鍙備笌锛孴echWeb瀹樻柟寰崥鏈熷緟鎮ㄧ殑鍏虫敞銆?
鏈?楂樿鏍煎叏鐞冪幆澧冨椤规寮忓惎鍔? 椹簯銆佸鏄庣瓑鍙楀▉寤夌帇瀛愰個璇峰嚭浠婚鎵瑰鍛樹細鎴愬憳
鏈?楂樿鏍煎叏鐞冪幆澧冨椤规寮忓惎鍔? 椹簯銆佸鏄庣瓑鍙楀▉寤夌帇瀛愰個璇峰嚭浠婚鎵瑰鍛樹細鎴愬憳
銆婃垜鍜屾垜鐨勫涔°?嬪甫鍔ㄥ啘璐х儹閿? 鎷煎澶氣?滃涔″ソ璐р?濅笓鍖鸿鍗曢噺鐮翠嚎
鍖椾含鏂囧寲锛氭埅鑷?10鏈?8鏃? 鏉ユ簮浜庛?婃垜鍜屾垜鐨勫涔°?嬬殑鏀剁泭绾︿负8000涓囧厓-1浜垮厓
2020鏁板瓧涓浗鎸囨暟鎶ュ憡锛氬幓骞寸敤浜戦噺澧為?熻揪118% 鍖椾笂骞块渶姹傛渶鏃?
缇庡浗浜戣绠楀叕鍙窼alesforce璁″垝瑁佸憳1000浜? 绾﹀崰鍏跺憳宸ユ?绘暟鐨?2%
vivo X50 Pro+alexanderwang闄愬畾鐗堝浘璧忥細榛戣壊涓庡够褰╃鎾? 鎵撻?犱笌浼椾笉鍚岀殑鏃跺皻鍗曞搧
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