{"id":3120,"date":"2023-07-19T03:05:15","date_gmt":"2023-07-19T03:05:15","guid":{"rendered":"https:\/\/statorials.org\/my\/sklearn-%e1%80%a1%e1%80%99%e1%80%bb%e1%80%ad%e1%80%af%e1%80%b8%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8%e1%80%81%e1%80%bd%e1%80%b2%e1%80%81%e1%80%bc%e1%80%ac%e1%80%b8%e1%80%81%e1%80%bc%e1%80%84%e1%80%ba\/"},"modified":"2023-07-19T03:05:15","modified_gmt":"2023-07-19T03:05:15","slug":"sklearn-%e1%80%a1%e1%80%99%e1%80%bb%e1%80%ad%e1%80%af%e1%80%b8%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8%e1%80%81%e1%80%bd%e1%80%b2%e1%80%81%e1%80%bc%e1%80%ac%e1%80%b8%e1%80%81%e1%80%bc%e1%80%84%e1%80%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/sklearn-%e1%80%a1%e1%80%99%e1%80%bb%e1%80%ad%e1%80%af%e1%80%b8%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8%e1%80%81%e1%80%bd%e1%80%b2%e1%80%81%e1%80%bc%e1%80%ac%e1%80%b8%e1%80%81%e1%80%bc%e1%80%84%e1%80%ba\/","title":{"rendered":"Sklearn \u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1021\u1005\u102e\u101b\u1004\u103a\u1001\u1036\u1005\u102c\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u1013\u102d\u1015\u1039\u1015\u102c\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u101b\u1019\u100a\u103a (\u1025\u1015\u1019\u102c\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u1005\u1000\u103a\u101e\u1004\u103a\u101a\u1030\u1019\u103e\u102f\u1010\u103d\u1004\u103a <a href=\"https:\/\/statorials.org\/my\/\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1001\u103c\u1004\u103a\u1038\u1014\u103e\u1004\u1037\u103a-\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1001\u103c\u1004\u103a\u1038\/\" target=\"_blank\" rel=\"noopener\">\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1015\u102f\u1036\u1005\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f<\/a> \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u104f\u1021\u101b\u100a\u103a\u1021\u101e\u103d\u1031\u1038\u1000\u102d\u102f \u1021\u1000\u1032\u1016\u103c\u1010\u103a\u101b\u1014\u103a \u1018\u102f\u1036\u1019\u1000\u103a\u1011\u101b\u1005\u103a\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a-<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \u1010\u102d\u1000\u103b\u1019\u103e\u102f<\/strong> &#8211; \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038 \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u101e\u1031\u102c \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038 \u101b\u102c\u1001\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u1001\u103c\u1004\u103a\u1038<\/strong> &#8211; \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u101e\u1031\u102c \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038 \u101b\u102c\u1001\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3. F1 \u101b\u1019\u103e\u1010\u103a<\/strong> &#8211; \u1010\u102d\u1000\u103b\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u1019\u103e\u102f\u104f \u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a\u101b\u103e\u102d\u101e\u1031\u102c \u101f\u102c\u1019\u102d\u102f\u1014\u1005\u103a\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u104b \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000 1 \u1014\u1032\u1037 \u1015\u102d\u102f\u1014\u102e\u1038\u1005\u1015\u103a\u101c\u1031\u104a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000 \u1015\u102d\u102f\u1000\u1031\u102c\u1004\u103a\u1038\u1015\u102b\u1010\u101a\u103a\u104b<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">F1 \u101b\u1019\u103e\u1010\u103a- 2* (\u1010\u102d\u1000\u103b\u1019\u103e\u102f * \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u1001\u1031\u102b\u103a\u101a\u1030\u1001\u103c\u1004\u103a\u1038) \/ (\u1010\u102d\u1000\u103b\u1019\u103e\u102f + \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u1001\u1031\u102b\u103a\u101a\u1030\u1001\u103c\u1004\u103a\u1038)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u1024\u1019\u1000\u103a\u1011\u101b\u1005\u103a\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u101e\u100a\u103a \u1021\u1001\u103b\u102d\u102f\u1037\u101e\u1031\u102c <a href=\"https:\/\/statorials.org\/my\/\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c-\u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a-\u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1019\u103b\u102c\u1038\/\" target=\"_blank\" rel=\"noopener\">\u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038<\/a> \u1021\u1010\u103d\u1000\u103a \u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102f\u1036\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1014\u102c\u1038\u101c\u100a\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a Python \u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1015\u102f\u1036\u1005\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1021\u1036\u1000\u102d\u102f\u1000\u103a\u101c\u102f\u1015\u103a\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u1024\u1019\u1000\u103a\u1011\u101b\u1005\u103a\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f\u1011\u102f\u1010\u103a\u101c\u102f\u1015\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a <strong>sklearn<\/strong> library \u1019\u103e <strong>classification_report()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c- \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1021\u1005\u102e\u101b\u1004\u103a\u1001\u1036\u1005\u102c\u1000\u102d\u102f sklearn \u1010\u103d\u1004\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1000\u1031\u102c\u101c\u102d\u1015\u103a\u1018\u1010\u103a\u1005\u1000\u1000\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038 1,000 \u1000\u102d\u102f NBA \u101e\u102d\u102f\u1037 \u101b\u1031\u1038\u1006\u103d\u1032\u1019\u100a\u103a\u101f\u102f\u1010\u103a-\u1019\u101f\u102f\u1010\u103a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1030\u100a\u102e\u1015\u1031\u1038\u101e\u100a\u1037\u103a \u1011\u1031\u102c\u1000\u103a\u1015\u1036\u1037\u1015\u102d\u102f\u1037\u1006\u1031\u102c\u1004\u103a\u101b\u1031\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1016\u103c\u100a\u1037\u103a\u1006\u100a\u103a\u1038\u1015\u1031\u1038\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1015\u1011\u1019\u1026\u1038\u1005\u103d\u102c\u104a Python \u1010\u103d\u1004\u103a \u1011\u1031\u102c\u1000\u103a\u1015\u1036\u1037\u1015\u102d\u102f\u1037\u1006\u1031\u102c\u1004\u103a\u101b\u1031\u1038\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u1031\u102c \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">model_selection<\/span> <span style=\"color: #008000;\">import<\/span> train_test_split\n<span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">linear_model<\/span> <span style=\"color: #008000;\">import<\/span> LogisticRegression\n<span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">metrics<\/span> <span style=\"color: #008000;\">import<\/span> classification_report<\/strong>\n<\/pre>\n<p> <span style=\"color: #000000;\">\u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1018\u1010\u103a\u1005\u1000\u1000\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038 1000 \u104f \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (30, size=1000),\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (12, size=1000),\n                   ' <span style=\"color: #ff0000;\">drafted<\/span> ': np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (2, size=1000)})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n\tpoints assists drafted\n0 5 1 1\n1 11 8 0\n2 12 4 1\n3 8 7 0\n4 9 0 0\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> &#8211; <strong>0<\/strong> \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1010\u1005\u103a\u1026\u1038\u1000\u102d\u102f \u101b\u1031\u1038\u1006\u103d\u1032\u1011\u102c\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1016\u1031\u102c\u103a\u1015\u103c\u1014\u1031\u1001\u103b\u102d\u1014\u103a\u1010\u103d\u1004\u103a <strong>1<\/strong> \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1010\u1005\u103a\u1026\u1038\u1000\u102d\u102f \u1019\u1030\u1000\u103c\u1019\u103a\u1038\u1019\u101b\u1031\u1038\u1006\u103d\u1032\u1011\u102c\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1012\u1031\u1010\u102c\u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1021\u1016\u103c\u1005\u103a \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1015\u103c\u102e\u1038 \u1011\u1031\u102c\u1000\u103a\u1015\u1036\u1037\u1015\u102d\u102f\u1037\u1006\u1031\u102c\u1004\u103a\u101b\u1031\u1038 \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1014\u103e\u1004\u1037\u103a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u1015\u102b\u1019\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define the predictor variables and the response variable\n<\/span>X = df[[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ']]\ny = df[' <span style=\"color: #ff0000;\">drafted<\/span> ']\n\n<span style=\"color: #008080;\">#split the dataset into training (70%) and testing (30%) sets\n<\/span>X_train,X_test,y_train,y_test = <span style=\"color: #3366ff;\">train_test_split<\/span> (X,y,test_size=0.3,random_state=0)  \n\n<\/strong><strong><span style=\"color: #008080;\">#instantiate the model\n<\/span>logistic_regression = LogisticRegression()\n\n<span style=\"color: #008080;\">#fit the model using the training data\n<\/span>logistic_regression. <span style=\"color: #3366ff;\">fit<\/span> (X_train,y_train)\n\n<span style=\"color: #008080;\">#use model to make predictions on test data\n<\/span>y_pred = logistic_regression. <span style=\"color: #3366ff;\">predict<\/span> (X_test)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1010\u103d\u1004\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1019\u1031\u102c\u103a\u1012\u101a\u103a\u104f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f\u1019\u1000\u103a\u1011\u101b\u1005\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a <strong>classification_report()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#print classification report for model\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (classification_report(y_test, y_pred))\n\n              precision recall f1-score support\n\n           0 0.51 0.58 0.54 160\n           1 0.43 0.36 0.40 140\n\n    accuracy 0.48 300\n   macro avg 0.47 0.47 0.47 300\nweighted avg 0.47 0.48 0.47 300\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u100a\u103a\u1019\u103e\u102c \u101b\u101c\u1012\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u1013\u102d\u1015\u1039\u1015\u102c\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a<\/strong> &#8211; \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101b\u1031\u1038\u1006\u103d\u1032\u1019\u100a\u103a\u101f\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1011\u102c\u1038\u101e\u1031\u102c \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101c\u103a\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1010\u103d\u1004\u103a \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a <strong>43%<\/strong> \u101e\u102c\u101b\u103e\u102d\u1001\u1032\u1037\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u101e\u1010\u102d\u1015\u1031\u1038\u1001\u103b\u1000\u103a<\/strong> &#8211; \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a\u101b\u1031\u1038\u1006\u103d\u1032\u1011\u102c\u1038\u101e\u100a\u1037\u103a \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1010\u103d\u1004\u103a\u104a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101e\u100a\u103a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u1011\u1032\u1019\u103e <strong>36%<\/strong> \u1021\u1010\u103d\u1000\u103a \u1024\u101b\u101c\u1012\u103a\u1000\u102d\u102f \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u1005\u103d\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1015\u1031\u1038\u1001\u1032\u1037\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>F1 \u101b\u1019\u103e\u1010\u103a<\/strong> &#8211; \u1024\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1010\u102d\u102f\u1004\u103a\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">F1 \u101b\u1019\u103e\u1010\u103a- 2* (\u1010\u102d\u1000\u103b\u1019\u103e\u102f * \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u1001\u1031\u102b\u103a\u101a\u1030\u1001\u103c\u1004\u103a\u1038) \/ (\u1010\u102d\u1000\u103b\u1019\u103e\u102f + \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u1001\u1031\u102b\u103a\u101a\u1030\u1001\u103c\u1004\u103a\u1038)<\/span><\/li>\n<li> <span style=\"color: #000000;\">F1 \u101b\u1019\u103e\u1010\u103a- 2*.43*.36)\/.43+.36)<\/span><\/li>\n<li> <span style=\"color: #000000;\">F1 \u1021\u1006\u1004\u1037\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a- <strong>0.40<\/strong> \u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1024\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 1 \u1014\u103e\u1004\u1037\u103a \u1021\u101c\u103d\u1014\u103a\u1014\u102e\u1038\u1005\u1015\u103a\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u1031\u1038\u1006\u103d\u1032\u1019\u100a\u103a\u104a \u1019\u101b\u1031\u1038\u1006\u103d\u1032\u1019\u100a\u103a\u1000\u102d\u102f \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000 \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1019\u103e\u102f \u100a\u1036\u1037\u1016\u103b\u1004\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1019\u103e\u102f<\/strong> &#8211; \u1024\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1015\u102b\u101d\u1004\u103a\u101e\u100a\u1037\u103a \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1000\u102d\u102f \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u1005\u103d\u102c\u1015\u103c\u1031\u102c\u1015\u103c\u1015\u102b\u101e\u100a\u103a\u104b \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038 <strong>\u1041\u1046\u1040<\/strong> \u1014\u103e\u1004\u1037\u103a <strong>\u1041\u1044\u1040<\/strong> \u1019\u101b\u1031\u1038\u1006\u103d\u1032\u1011\u102c\u1038\u101e\u100a\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1031\u1037\u1019\u103c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> &#8211; <strong>classification_report()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1021\u1010\u103d\u1000\u103a \u1005\u102c\u101b\u103d\u1000\u103a\u1005\u102c\u1010\u1019\u103a\u1038\u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1000\u102d\u102f <a href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.metrics.classification_report.html\" target=\"_blank\" rel=\"noopener\">\u1024\u1014\u1031\u101b\u102c\u1010\u103d\u1004\u103a<\/a> \u101b\u103e\u102c\u1016\u103d\u1031\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Python \u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1015\u102f\u1036\u1005\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1014\u1031\u102c\u1000\u103a\u1011\u1015\u103a\u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u1038\u1006\u1031\u102c\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/my\/logistic-regression-python\/\" target=\"_blank\" rel=\"noopener\">Python \u1010\u103d\u1004\u103a Logistic Regression \u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/python-matrix-\u101b\u103e\u102f\u1015\u103a\u1011\u103d\u1031\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038\/\" target=\"_blank\" rel=\"noopener\">Python \u1010\u103d\u1004\u103a Confusion Matrix \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1019\u103b\u103e\u1010\u101e\u1031\u102c\u1010\u102d\u1000\u103b\u101e\u1031\u102c-python-sklearn\/\">Python \u1010\u103d\u1004\u103a \u1019\u103b\u103e\u1010\u101e\u1031\u102c\u1010\u102d\u1000\u103b\u1019\u103e\u102f\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1005\u1000\u103a\u101e\u1004\u103a\u101a\u1030\u1019\u103e\u102f\u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1015\u102f\u1036\u1005\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u104f\u1021\u101b\u100a\u103a\u1021\u101e\u103d\u1031\u1038\u1000\u102d\u102f \u1021\u1000\u1032\u1016\u103c\u1010\u103a\u101b\u1014\u103a \u1018\u102f\u1036\u1019\u1000\u103a\u1011\u101b\u1005\u103a\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a- 1. \u1010\u102d\u1000\u103b\u1019\u103e\u102f &#8211; \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038 \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u101e\u1031\u102c \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038 \u101b\u102c\u1001\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u104b 2. \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u1001\u103c\u1004\u103a\u1038 &#8211; \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u101e\u1031\u102c \u1021\u1015\u103c\u102f\u101e\u1018\u1031\u102c\u1006\u1031\u102c\u1004\u103a\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038 \u101b\u102c\u1001\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u104b 3. F1 \u101b\u1019\u103e\u1010\u103a &#8211; \u1010\u102d\u1000\u103b\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u1019\u103e\u102f\u104f \u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a\u101b\u103e\u102d\u101e\u1031\u102c \u101f\u102c\u1019\u102d\u102f\u1014\u1005\u103a\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u104b \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000 1 \u1014\u1032\u1037 \u1015\u102d\u102f\u1014\u102e\u1038\u1005\u1015\u103a\u101c\u1031\u104a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000 \u1015\u102d\u102f\u1000\u1031\u102c\u1004\u103a\u1038\u1015\u102b\u1010\u101a\u103a\u104b F1 \u101b\u1019\u103e\u1010\u103a- 2* (\u1010\u102d\u1000\u103b\u1019\u103e\u102f * \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u1001\u1031\u102b\u103a\u101a\u1030\u1001\u103c\u1004\u103a\u1038) \/ (\u1010\u102d\u1000\u103b\u1019\u103e\u102f + \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u1001\u1031\u102b\u103a\u101a\u1030\u1001\u103c\u1004\u103a\u1038) \u1024\u1019\u1000\u103a\u1011\u101b\u1005\u103a\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>sklearn (\u1025\u1015\u1019\u102c\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030) - Statology \u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1021\u1005\u102e\u101b\u1004\u103a\u1001\u1036\u1005\u102c\u1000\u102d\u102f \u1021\u1013\u102d\u1015\u1039\u1015\u102c\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u1015\u102f\u1036<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a Python \u101b\u103e\u102d classification_report() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/sklearn-\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1001\u103c\u1004\u103a\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"sklearn (\u1025\u1015\u1019\u102c\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030) - Statology \u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u1004\u103a\u1038\u1021\u1005\u102e\u101b\u1004\u103a\u1001\u1036\u1005\u102c\u1000\u102d\u102f \u1021\u1013\u102d\u1015\u1039\u1015\u102c\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u1015\u102f\u1036\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a Python \u101b\u103e\u102d classification_report() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/sklearn-\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1001\u103c\u1004\u103a\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T03:05:15+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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