Task
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 35 Supervised Classification dermatology 670 runs submitted
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  • basic study_1 study_107 study_123 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9429, kappa: 0.9282, kb_relative_information_score: 339.33, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9439, predictive_accuracy: 0.9426, prior_entropy: 2.4378, recall: 0.9426, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, kappa: 0.3397, kb_relative_information_score: 134.3949, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 366, predictive_accuracy: 0.5027, prior_entropy: 2.4378, recall: 0.5027, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9699, kappa: 0.9624, kb_relative_information_score: 341.5502, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9701, predictive_accuracy: 0.9699, prior_entropy: 2.4378, recall: 0.9699, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9672, kappa: 0.9589, kb_relative_information_score: 350.7607, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9752, kappa: 0.9692, kb_relative_information_score: 341.6548, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 2.4378, recall: 0.9754, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9505, kappa: 0.9383, kb_relative_information_score: 343.1861, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 2.4378, recall: 0.9508, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9591, kappa: 0.9487, kb_relative_information_score: 347.6187, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9401, kappa: 0.9248, kb_relative_information_score: 322.6427, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9423, predictive_accuracy: 0.9399, prior_entropy: 2.4378, recall: 0.9399, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.3513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9674, kappa: 0.959, kb_relative_information_score: 353.214, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8592, kappa: 0.8194, kb_relative_information_score: 294.658, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.8658, predictive_accuracy: 0.8552, prior_entropy: 2.4378, recall: 0.8552, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9674, kappa: 0.959, kb_relative_information_score: 353.3445, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.2148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9542, kappa: 0.9418, kb_relative_information_score: 342.2119, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9557, predictive_accuracy: 0.9536, prior_entropy: 2.4378, recall: 0.9536, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9671, kappa: 0.959, kb_relative_information_score: 351.9409, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9594, kappa: 0.9487, kb_relative_information_score: 346.9654, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9602, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.3081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.978, kappa: 0.9726, kb_relative_information_score: 350.3808, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 2.4378, recall: 0.9781, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9836, kappa: 0.9795, kb_relative_information_score: 356.6888, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 2.4378, recall: 0.9836, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9782, kappa: 0.9726, kb_relative_information_score: 353.5292, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9787, predictive_accuracy: 0.9781, prior_entropy: 2.4378, recall: 0.9781, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.7797, kappa: 0.7419, kb_relative_information_score: 271.0463, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.767, predictive_accuracy: 0.7951, prior_entropy: 2.4378, recall: 0.7951, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.962, kappa: 0.9522, kb_relative_information_score: 340.0731, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9634, predictive_accuracy: 0.9617, prior_entropy: 2.4378, recall: 0.9617, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9643, kappa: 0.9555, kb_relative_information_score: 125.4357, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9642, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.8519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9616, kappa: 0.9521, kb_relative_information_score: 341.9821, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 2.4378, recall: 0.9617, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9475, kappa: 0.9349, kb_relative_information_score: 307.6037, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9475, predictive_accuracy: 0.9481, prior_entropy: 2.4378, recall: 0.9481, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, f_measure: 0.1434, kb_relative_information_score: 0.2706, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7697, kappa: 0.7219, kb_relative_information_score: 275.8253, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.7631, predictive_accuracy: 0.7787, prior_entropy: 2.4378, recall: 0.7787, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.5642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9567, kappa: 0.9453, kb_relative_information_score: 341.3342, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9578, predictive_accuracy: 0.9563, prior_entropy: 2.4378, recall: 0.9563, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.2887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9698, kappa: 0.9623, kb_relative_information_score: 346.0481, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9717, predictive_accuracy: 0.9699, prior_entropy: 2.4378, recall: 0.9699, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9344, kappa: 0.9179, kb_relative_information_score: 336.1575, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9348, predictive_accuracy: 0.9344, prior_entropy: 2.4378, recall: 0.9344, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9674, kappa: 0.959, kb_relative_information_score: 353.1487, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7472, kappa: 0.7037, kb_relative_information_score: 111.9048, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.7483, predictive_accuracy: 0.765, prior_entropy: 2.4378, recall: 0.765, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9561, kappa: 0.9453, kb_relative_information_score: 148.1758, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 2.4378, recall: 0.9563, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.7729, kappa: 0.7382, kb_relative_information_score: 278.3923, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.7729, predictive_accuracy: 0.7924, prior_entropy: 2.4378, recall: 0.7924, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9835, kappa: 0.9795, kb_relative_information_score: 126.4765, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9835, predictive_accuracy: 0.9836, prior_entropy: 2.4378, recall: 0.9836, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9754, kappa: 0.9692, kb_relative_information_score: 353.8234, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 2.4378, recall: 0.9754, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.078, root_relative_squared_error: 0.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9643, kappa: 0.9555, kb_relative_information_score: 125.5521, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9642, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9669, kappa: 0.9589, kb_relative_information_score: 323.6822, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9668, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.116, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9674, kappa: 0.959, kb_relative_information_score: 353.3661, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9344, kappa: 0.9179, kb_relative_information_score: 336.1577, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9348, predictive_accuracy: 0.9344, prior_entropy: 2.4378, recall: 0.9344, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9781, kappa: 0.9726, kb_relative_information_score: 333.1968, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.978, predictive_accuracy: 0.9781, prior_entropy: 2.4378, recall: 0.9781, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.2478, scimark_benchmark: 1254.3948, usercpu_time_millis: 386220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 386190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9672, kappa: 0.9589, kb_relative_information_score: 350.0254, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2588, scimark_benchmark: 1248.9276, usercpu_time_millis: 470, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9728, kappa: 0.9658, kb_relative_information_score: 349.5639, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9731, predictive_accuracy: 0.9727, prior_entropy: 2.4378, recall: 0.9727, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.2552, scimark_benchmark: 478.0102, usercpu_time_millis: 96560, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 96450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9507, kappa: 0.9385, kb_relative_information_score: 341.0583, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9512, predictive_accuracy: 0.9508, prior_entropy: 2.4378, recall: 0.9508, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.3482, scimark_benchmark: 1139.214, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.925, kappa: 0.9073, kb_relative_information_score: 326.7025, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9285, predictive_accuracy: 0.9262, prior_entropy: 2.4378, recall: 0.9262, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.147, root_relative_squared_error: 0.403, scimark_benchmark: 1213.1488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9727, kappa: 0.9658, kb_relative_information_score: 354.9928, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 2.4378, recall: 0.9727, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.2008, scimark_benchmark: 1240.6826, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9507, kappa: 0.9385, kb_relative_information_score: 341.0583, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9512, predictive_accuracy: 0.9508, prior_entropy: 2.4378, recall: 0.9508, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.3482, scimark_benchmark: 473.1656, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9344, kappa: 0.9179, kb_relative_information_score: 336.1575, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9348, predictive_accuracy: 0.9344, prior_entropy: 2.4378, recall: 0.9344, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3795, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9753, kappa: 0.9692, kb_relative_information_score: 353.5812, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 2.4378, recall: 0.9754, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2461, scimark_benchmark: 1254.1389, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9674, kappa: 0.959, kb_relative_information_score: 353.3445, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.2148, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.3497, kappa: 0.3397, kb_relative_information_score: 134.3949, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.2755, predictive_accuracy: 0.5027, prior_entropy: 2.4378, recall: 0.5027, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8744, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9674, kappa: 0.959, kb_relative_information_score: 353.748, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2125, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9674, kappa: 0.959, kb_relative_information_score: 353.748, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2125, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9728, kappa: 0.9658, kb_relative_information_score: 355.7117, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9735, predictive_accuracy: 0.9727, prior_entropy: 2.4378, recall: 0.9727, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.198, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, f_measure: 0.1434, kb_relative_information_score: 0.2706, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, f_measure: 0.1434, kb_relative_information_score: 0.2706, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9344, kappa: 0.9179, kb_relative_information_score: 336.3413, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9348, predictive_accuracy: 0.9344, prior_entropy: 2.4378, recall: 0.9344, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.3768, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9671, kappa: 0.959, kb_relative_information_score: 344.3455, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.2663, scimark_benchmark: 851.2074, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9782, kappa: 0.9726, kb_relative_information_score: 356.1814, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.979, predictive_accuracy: 0.9781, prior_entropy: 2.4378, recall: 0.9781, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1908, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9782, kappa: 0.9726, kb_relative_information_score: 356.1814, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.979, predictive_accuracy: 0.9781, prior_entropy: 2.4378, recall: 0.9781, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1908, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9339, kappa: 0.9176, kb_relative_information_score: 323.0784, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9354, predictive_accuracy: 0.9344, prior_entropy: 2.4378, recall: 0.9344, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.3612, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9782, kappa: 0.9726, kb_relative_information_score: 356.1814, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.979, predictive_accuracy: 0.9781, prior_entropy: 2.4378, recall: 0.9781, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1908, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9669, kappa: 0.9589, kb_relative_information_score: 323.6822, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9668, predictive_accuracy: 0.9672, prior_entropy: 2.4378, recall: 0.9672, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.116, root_relative_squared_error: 0.318, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8173, kappa: 0.7897, kb_relative_information_score: 288.8922, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.8517, predictive_accuracy: 0.8333, prior_entropy: 2.4378, recall: 0.8333, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.646, scimark_benchmark: 932.438, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,

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

OpenML bootcamp

From your own software

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

OpenML APIs