OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.917, kappa: 0.2324, kb_relative_information_score: -427.7923, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9257, kappa: 0.3529, kb_relative_information_score: -221.4212, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.923, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.9249, kappa: 0.3765, kb_relative_information_score: -161.6098, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9212, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.927, kappa: 0.3485, kb_relative_information_score: -335.2162, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3667, recall: 0.9396, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.9223, kappa: 0.3456, kb_relative_information_score: -221.9145, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.918, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9243, kappa: 0.3386, kb_relative_information_score: -319.5569, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.9153, kappa: 0.2143, kb_relative_information_score: -513.7988, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9193, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.925, kappa: 0.3549, kb_relative_information_score: -239.943, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9215, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9229, kappa: 0.3308, kb_relative_information_score: -339.813, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9193, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9243, kappa: 0.3386, kb_relative_information_score: -299.3655, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9229, kappa: 0.3308, kb_relative_information_score: -342.9455, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9193, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.9257, kappa: 0.3466, kb_relative_information_score: -337.0624, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9237, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.8872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.923, kappa: 0.3373, kb_relative_information_score: -309.8533, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.919, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: -269.1039, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.9285, kappa: 0.3754, kb_relative_information_score: -270.7081, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9269, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.925, kappa: 0.3489, kb_relative_information_score: -300.7222, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9219, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.923, kappa: 0.3373, kb_relative_information_score: -310.9663, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.919, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.923, kappa: 0.3493, kb_relative_information_score: -178.5071, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: 179.6146, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9035, kappa: 0.0821, kb_relative_information_score: -491.4758, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.9174, kappa: 0.2428, kb_relative_information_score: -361.9121, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.9249, kappa: 0.336, kb_relative_information_score: -315.3224, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9234, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.914, kappa: 0.2074, kb_relative_information_score: -484.151, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.9217, kappa: 0.336, kb_relative_information_score: -209.3623, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9172, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.9118, kappa: 0.177, kb_relative_information_score: -430.8025, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.9183, kappa: 0.2399, kb_relative_information_score: -351.7517, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9273, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.9269, kappa: 0.3417, kb_relative_information_score: -389.243, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9295, predictive_accuracy: 0.9405, prior_entropy: 0.3667, recall: 0.9405, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.9257, kappa: 0.3466, kb_relative_information_score: -337.1161, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9237, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9264, kappa: 0.3508, kb_relative_information_score: -372.3262, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.925, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.9068, kappa: 0.1211, kb_relative_information_score: -435.2212, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9083, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.9257, kappa: 0.3466, kb_relative_information_score: -329.7381, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9237, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.925, kappa: 0.3426, kb_relative_information_score: -316.1485, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9225, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.9299, kappa: 0.3724, kb_relative_information_score: -369.2168, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9326, predictive_accuracy: 0.9423, prior_entropy: 0.3667, recall: 0.9423, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.9278, kappa: 0.382, kb_relative_information_score: -287.9278, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9246, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9104, kappa: 0.1504, kb_relative_information_score: -302.8615, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9254, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.9299, kappa: 0.3894, kb_relative_information_score: -262.266, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9284, predictive_accuracy: 0.9396, prior_entropy: 0.3667, recall: 0.9396, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.9278, kappa: 0.3592, kb_relative_information_score: -339.0819, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3667, recall: 0.9396, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.9218, kappa: 0.2978, kb_relative_information_score: -311.5583, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9211, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -422.1681, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.9262, kappa: 0.3374, kb_relative_information_score: -351.408, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9278, predictive_accuracy: 0.9396, prior_entropy: 0.3667, recall: 0.9396, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.9257, kappa: 0.3466, kb_relative_information_score: -291.3055, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9237, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9213, kappa: 0.2808, kb_relative_information_score: -383.7091, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9248, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.9284, kappa: 0.3571, kb_relative_information_score: -395.7226, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9311, predictive_accuracy: 0.9414, prior_entropy: 0.3667, recall: 0.9414, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.9257, kappa: 0.3529, kb_relative_information_score: -285.406, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.923, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.9263, kappa: 0.3442, kb_relative_information_score: -299.3625, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9262, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.9257, kappa: 0.3466, kb_relative_information_score: -324.1054, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9237, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.8874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.9257, kappa: 0.3466, kb_relative_information_score: -343.8984, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9237, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.8887,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9233, kappa: 0.3135, kb_relative_information_score: -308.7548, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9228, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.9257, kappa: 0.3589, kb_relative_information_score: -253.8239, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9225, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8947,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.9264, kappa: 0.357, kb_relative_information_score: -295.1477, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9241, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.8815,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.9263, kappa: 0.3442, kb_relative_information_score: -349.4069, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9262, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8947,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.9257, kappa: 0.3466, kb_relative_information_score: -304.7195, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9237, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -255.1703, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9186, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.8787,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.9236, kappa: 0.328, kb_relative_information_score: -234.8538, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9209, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.224, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.91, kappa: 0.1578, kb_relative_information_score: -427.751, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9116, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.9299, kappa: 0.3724, kb_relative_information_score: -377.5046, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9326, predictive_accuracy: 0.9423, prior_entropy: 0.3667, recall: 0.9423, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9257, kappa: 0.3589, kb_relative_information_score: -253.4347, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9225, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.228, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.9233, kappa: 0.3135, kb_relative_information_score: -361.4944, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9228, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.9264, kappa: 0.3508, kb_relative_information_score: -350.8327, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.925, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.9211, kappa: 0.2939, kb_relative_information_score: -273.0807, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9196, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.9206, kappa: 0.2769, kb_relative_information_score: -356.6146, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9227, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.9284, kappa: 0.3571, kb_relative_information_score: -397.2683, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9311, predictive_accuracy: 0.9414, prior_entropy: 0.3667, recall: 0.9414, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.9243, kappa: 0.3386, kb_relative_information_score: -311.1087, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9245, kappa: 0.314, kb_relative_information_score: -393.3684, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9283, predictive_accuracy: 0.9396, prior_entropy: 0.3667, recall: 0.9396, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8962,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs