Task
Supervised Classification on zoo

Supervised Classification on zoo

Task 60 Supervised Classification zoo 80 runs submitted
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  • basic study_1 study_107 study_123 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9688, kappa: 0.9608, kb_relative_information_score: 93.3655, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9685, predictive_accuracy: 0.9703, prior_entropy: 2.4427, recall: 0.9703, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, kappa: 0.4359, kb_relative_information_score: 38.4667, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2188, number_of_instances: 101, predictive_accuracy: 0.5941, prior_entropy: 2.4427, recall: 0.5941, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9289, kappa: 0.9086, kb_relative_information_score: 77.6248, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9347, predictive_accuracy: 0.9307, prior_entropy: 2.4427, recall: 0.9307, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9503, kappa: 0.9347, kb_relative_information_score: 90.6733, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9528, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9584, kappa: 0.9477, kb_relative_information_score: 91.4924, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 2.4427, recall: 0.9604, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9175, kappa: 0.8948, kb_relative_information_score: 89.2345, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9157, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.885, kappa: 0.847, kb_relative_information_score: 84.2712, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9198, predictive_accuracy: 0.8812, prior_entropy: 2.4427, recall: 0.8812, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8604, kappa: 0.8516, kb_relative_information_score: 78.8767, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8535, predictive_accuracy: 0.8911, prior_entropy: 2.4427, recall: 0.8911, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8661, kappa: 0.8457, kb_relative_information_score: 86.3201, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8742, predictive_accuracy: 0.8812, prior_entropy: 2.4427, recall: 0.8812, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7773, kappa: 0.7445, kb_relative_information_score: 68.5926, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7478, predictive_accuracy: 0.8119, prior_entropy: 2.4427, recall: 0.8119, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.8661, kappa: 0.8457, kb_relative_information_score: 85.3181, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8742, predictive_accuracy: 0.8812, prior_entropy: 2.4427, recall: 0.8812, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9582, kappa: 0.9477, kb_relative_information_score: 93.2474, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9655, predictive_accuracy: 0.9604, prior_entropy: 2.4427, recall: 0.9604, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9488, kappa: 0.9347, kb_relative_information_score: 90.4804, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9556, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9474, kappa: 0.9352, kb_relative_information_score: 92.6687, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9627, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9272, kappa: 0.9091, kb_relative_information_score: 90.6199, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9312, predictive_accuracy: 0.9307, prior_entropy: 2.4427, recall: 0.9307, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9386, kappa: 0.9223, kb_relative_information_score: 91.3855, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9435, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.115, root_relative_squared_error: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9286, kappa: 0.9084, kb_relative_information_score: 90.9663, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9294, predictive_accuracy: 0.9307, prior_entropy: 2.4427, recall: 0.9307, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9474, kappa: 0.9352, kb_relative_information_score: 93.0124, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9627, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.948, kappa: 0.9347, kb_relative_information_score: 88.1898, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9598, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9584, kappa: 0.9477, kb_relative_information_score: 26.8923, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 2.4427, recall: 0.9604, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.94, kappa: 0.9217, kb_relative_information_score: 90.0384, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9496, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7891, kappa: 0.7655, kb_relative_information_score: 53.3375, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7603, predictive_accuracy: 0.8317, prior_entropy: 2.4427, recall: 0.8317, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.221, root_relative_squared_error: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4478, f_measure: 0.2344, kb_relative_information_score: -0.025, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.1648, predictive_accuracy: 0.4059, prior_entropy: 2.4427, recall: 0.4059, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.3299, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8713, kappa: 0.843, kb_relative_information_score: 90.9423, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.863, predictive_accuracy: 0.8812, prior_entropy: 2.4427, recall: 0.8812, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.948, kappa: 0.9347, kb_relative_information_score: 90.1716, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9598, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8706, kappa: 0.8443, kb_relative_information_score: 86.6658, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8722, predictive_accuracy: 0.8812, prior_entropy: 2.4427, recall: 0.8812, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9348, kappa: 0.9211, kb_relative_information_score: 63.5434, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9439, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9198, kappa: 0.8955, kb_relative_information_score: 87.9438, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9217, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9305, kappa: 0.9098, kb_relative_information_score: 91.4639, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9424, predictive_accuracy: 0.9307, prior_entropy: 2.4427, recall: 0.9307, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9402, kappa: 0.9218, kb_relative_information_score: 27.1082, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9441, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9395, kappa: 0.9215, kb_relative_information_score: 90.0734, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9436, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9584, kappa: 0.9477, kb_relative_information_score: 27.1917, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 2.4427, recall: 0.9604, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9383, kappa: 0.9215, kb_relative_information_score: 26.9764, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9397, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9474, kappa: 0.9352, kb_relative_information_score: 93.0767, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9627, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.103, root_relative_squared_error: 0.3128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9198, kappa: 0.8955, kb_relative_information_score: 87.9438, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9217, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.92, kappa: 0.8962, kb_relative_information_score: 90.6358, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9308, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9383, kappa: 0.9216, kb_relative_information_score: 27.2399, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9474, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9698, kappa: 0.9608, kb_relative_information_score: 81.7931, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9721, predictive_accuracy: 0.9703, prior_entropy: 2.4427, recall: 0.9703, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9238, kappa: 0.8965, kb_relative_information_score: 76.4904, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.929, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9583, kappa: 0.9474, kb_relative_information_score: 90.7818, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9599, predictive_accuracy: 0.9604, prior_entropy: 2.4427, recall: 0.9604, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9382, kappa: 0.9217, kb_relative_information_score: 88.9324, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9402, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3955,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.7707, kappa: 0.7758, kb_relative_information_score: 70.7015, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7358, predictive_accuracy: 0.8317, prior_entropy: 2.4427, recall: 0.8317, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9412, kappa: 0.9222, kb_relative_information_score: 90.7168, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9462, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3955, usercpu_time_millis: 392.748, usercpu_time_millis_testing: 14.009, usercpu_time_millis_training: 378.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9695, kappa: 0.9609, kb_relative_information_score: 94.0486, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9752, predictive_accuracy: 0.9703, prior_entropy: 2.4427, recall: 0.9703, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.2796, usercpu_time_millis: 10.306, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 9.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9694, kappa: 0.961, kb_relative_information_score: 94.5991, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 2.4427, recall: 0.9703, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.2796, usercpu_time_millis: 13.054, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 12.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8444, kappa: 0.8431, kb_relative_information_score: 79.7439, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8179, predictive_accuracy: 0.8812, prior_entropy: 2.4427, recall: 0.8812, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.5593, usercpu_time_millis: 0.352, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8314, kappa: 0.8299, kb_relative_information_score: 77.6651, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8095, predictive_accuracy: 0.8713, prior_entropy: 2.4427, recall: 0.8713, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5821, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9459, kappa: 0.9346, kb_relative_information_score: 90.4515, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9462, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.361, usercpu_time_millis: 6.462, usercpu_time_millis_testing: 2.568, usercpu_time_millis_training: 3.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.93, kappa: 0.9086, kb_relative_information_score: 87.7417, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9322, predictive_accuracy: 0.9307, prior_entropy: 2.4427, recall: 0.9307, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4271, usercpu_time_millis: 3.78, usercpu_time_millis_testing: 1.691, usercpu_time_millis_training: 2.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9459, kappa: 0.9346, kb_relative_information_score: 90.4515, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9462, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.361, usercpu_time_millis: 1.555, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9459, kappa: 0.9346, kb_relative_information_score: 90.4515, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9462, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.361, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.6798, kappa: 0.6457, kb_relative_information_score: 63.0663, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7072, predictive_accuracy: 0.7327, prior_entropy: 2.4427, recall: 0.7327, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8389, usercpu_time_millis: 2.733, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 1.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8247, kappa: 0.7916, kb_relative_information_score: 75.4115, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8353, predictive_accuracy: 0.8416, prior_entropy: 2.4427, recall: 0.8416, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.6458, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.921, kappa: 0.8961, kb_relative_information_score: 87.5634, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.923, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4566, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9373, kappa: 0.9222, kb_relative_information_score: 90.5969, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.942, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3955, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8933, kappa: 0.8573, kb_relative_information_score: 82.7685, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8978, predictive_accuracy: 0.8911, prior_entropy: 2.4427, recall: 0.8911, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5354, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9475, kappa: 0.9346, kb_relative_information_score: 90.3496, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9528, predictive_accuracy: 0.9505, prior_entropy: 2.4427, recall: 0.9505, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.361, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9549, kappa: 0.9477, kb_relative_information_score: 92.2943, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9647, predictive_accuracy: 0.9604, prior_entropy: 2.4427, recall: 0.9604, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3229, usercpu_time_millis: 1.092, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9003, kappa: 0.8808, kb_relative_information_score: 84.2599, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8988, predictive_accuracy: 0.9109, prior_entropy: 2.4427, recall: 0.9109, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4843, usercpu_time_millis: 3.702, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 2.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9198, kappa: 0.8955, kb_relative_information_score: 86.2227, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9217, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4566, usercpu_time_millis: 3.951, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7569, kappa: 0.7604, kb_relative_information_score: 69.2889, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7117, predictive_accuracy: 0.8218, prior_entropy: 2.4427, recall: 0.8218, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6849, usercpu_time_millis: 14.602, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 14.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9597, kappa: 0.9477, kb_relative_information_score: 92.1924, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9616, predictive_accuracy: 0.9604, prior_entropy: 2.4427, recall: 0.9604, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3229, usercpu_time_millis: 3.234, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 1.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 74.1833, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6253, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9396, kappa: 0.9217, kb_relative_information_score: 89.3761, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9422, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3955, usercpu_time_millis: 2.479, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.775, kappa: 0.7615, kb_relative_information_score: 69.6172, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7683, predictive_accuracy: 0.8218, prior_entropy: 2.4427, recall: 0.8218, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6849, usercpu_time_millis: 0.899, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.928, kappa: 0.9208, kb_relative_information_score: 88.7106, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9454, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3955, usercpu_time_millis: 2.92, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 2.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 83.5449, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8764, kappa: 0.8549, kb_relative_information_score: 80.2224, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8909, predictive_accuracy: 0.8911, prior_entropy: 2.4427, recall: 0.8911, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 83.5449, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 83.5449, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 83.5449, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 83.5449, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9412, kappa: 0.9222, kb_relative_information_score: 78.6372, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9462, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9412, kappa: 0.9222, kb_relative_information_score: 78.6372, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9462, predictive_accuracy: 0.9406, prior_entropy: 2.4427, recall: 0.9406, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 83.5449, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8098, kappa: 0.8034, kb_relative_information_score: 83.5449, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.7841, predictive_accuracy: 0.8515, prior_entropy: 2.4427, recall: 0.8515, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8764, kappa: 0.8549, kb_relative_information_score: 80.2224, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.8909, predictive_accuracy: 0.8911, prior_entropy: 2.4427, recall: 0.8911, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Metric:

Timeline

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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

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

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