Task
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 909 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7768, kappa: 0.5516, kb_relative_information_score: 114.8104, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.782, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7186, kappa: 0.4346, kb_relative_information_score: 53.1991, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7227, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.454, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8554, kappa: 0.7091, kb_relative_information_score: 132.3947, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8564, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.726, kappa: 0.4498, kb_relative_information_score: 93.2527, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7262, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8266, kappa: 0.6514, kb_relative_information_score: 131.2109, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.827, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.731, kappa: 0.4605, kb_relative_information_score: 93.8259, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7881, kappa: 0.5739, kb_relative_information_score: 103.9513, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7609, kappa: 0.5208, kb_relative_information_score: 92.2766, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7707, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.6915, kappa: 0.3898, kb_relative_information_score: 76.4007, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7036, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7449, kappa: 0.4871, kb_relative_information_score: 89.5347, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7449, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 76.3358, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8268, kappa: 0.6518, kb_relative_information_score: 135.5118, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8268, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7883, kappa: 0.5744, kb_relative_information_score: 116.8755, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7977, kappa: 0.5933, kb_relative_information_score: 118.4173, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.798, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7839, kappa: 0.5667, kb_relative_information_score: 119.0687, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.785, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.6713, kappa: 0.3533, kb_relative_information_score: 74.949, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6878, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7308, kappa: 0.464, kb_relative_information_score: 79.4856, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7374, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7532, kappa: 0.5038, kb_relative_information_score: 104.7257, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7559, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.825, kappa: 0.6486, kb_relative_information_score: 107.2687, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8332, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7881, kappa: 0.5739, kb_relative_information_score: 111.9554, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7374, kappa: 0.4729, kb_relative_information_score: 81.2651, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7435, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7712, kappa: 0.5409, kb_relative_information_score: 70.7887, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7791, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8016, kappa: 0.6011, kb_relative_information_score: 105.8959, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8049, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.742, kappa: 0.4823, kb_relative_information_score: 87.5485, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7492, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8172, kappa: 0.6325, kb_relative_information_score: 114.6059, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8172, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 73.5649, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7787, kappa: 0.5551, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7787, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.6713, kappa: 0.3533, kb_relative_information_score: 75.7362, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6878, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7686, kappa: 0.5345, kb_relative_information_score: 110.5156, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7695, kappa: 0.5382, kb_relative_information_score: 111.3687, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.771, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6763, kappa: 0.3624, kb_relative_information_score: 75.357, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6917, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7443, kappa: 0.4857, kb_relative_information_score: 96.1119, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7451, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7242, kappa: 0.4455, kb_relative_information_score: 93.2527, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7266, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7729, kappa: 0.5433, kb_relative_information_score: 43.6262, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7748, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.6876, kappa: 0.3774, kb_relative_information_score: 41.9306, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6931, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7543, kappa: 0.5058, kb_relative_information_score: 73.968, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7546, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.1754, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7066, kappa: 0.4104, kb_relative_information_score: 85.2012, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7066, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8497, kappa: 0.698, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8554, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6877, kappa: 0.3734, kb_relative_information_score: 77.1496, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6883, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6926, kappa: 0.3834, kb_relative_information_score: 79.1625, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7814, kappa: 0.5611, kb_relative_information_score: 117.4073, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7876, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7768, kappa: 0.5516, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.782, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8166, kappa: 0.631, kb_relative_information_score: 131.4975, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8183, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6926, kappa: 0.3834, kb_relative_information_score: 79.1625, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7814, kappa: 0.5611, kb_relative_information_score: 117.4073, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7876, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8511, kappa: 0.7011, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8515, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8262, kappa: 0.6505, kb_relative_information_score: 135.5233, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.828, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8213, kappa: 0.6405, kb_relative_information_score: 133.5104, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8235, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8511, kappa: 0.7011, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8515, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8262, kappa: 0.6505, kb_relative_information_score: 135.5233, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.828, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8213, kappa: 0.6405, kb_relative_information_score: 133.5104, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8235, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6877, kappa: 0.3734, kb_relative_information_score: 77.1496, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6883, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6926, kappa: 0.3834, kb_relative_information_score: 79.1625, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7814, kappa: 0.5611, kb_relative_information_score: 117.4073, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7876, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7768, kappa: 0.5516, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.782, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8166, kappa: 0.631, kb_relative_information_score: 131.4975, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8183, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7056, kappa: 0.4176, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7348, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7056, kappa: 0.4176, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7348, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7056, kappa: 0.4176, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7348, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7056, kappa: 0.4176, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7348, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7056, kappa: 0.4176, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7348, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676,

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

OpenML APIs