Task
Supervised Classification on ar1

Supervised Classification on ar1

Task 3909 Supervised Classification ar1 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.9008, kappa: 0.2798, kb_relative_information_score: -30.2319, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9008, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3161, root_relative_squared_error: 1.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, kb_relative_information_score: -31.7131, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1436, number_of_instances: 121, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2693, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, kb_relative_information_score: -17.8031, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1436, number_of_instances: 121, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 21.7768, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, kb_relative_information_score: -210.885, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1436, number_of_instances: 121, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.3594, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2921, root_relative_squared_error: 1.1127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.9121, kappa: 0.2745, kb_relative_information_score: 11.544, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9074, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2649, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.8899, kb_relative_information_score: -34.9025, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2636, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -25.9482, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.434, f_measure: 0.8899, kb_relative_information_score: -30.5625, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0434, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2645, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -6.2484, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.8938, kappa: 0.3023, kb_relative_information_score: -34.7801, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9057, predictive_accuracy: 0.8843, prior_entropy: 0.4067, recall: 0.8843, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3127, root_relative_squared_error: 1.1914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.925, kappa: 0.3965, kb_relative_information_score: 43.2663, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9224, predictive_accuracy: 0.9339, prior_entropy: 0.4067, recall: 0.9339, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.8727, kappa: 0.0512, kb_relative_information_score: -71.8705, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8694, predictive_accuracy: 0.876, prior_entropy: 0.4067, recall: 0.876, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3068, root_relative_squared_error: 1.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.9006, kappa: 0.2203, kb_relative_information_score: -4.0868, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8941, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.275, root_relative_squared_error: 1.0476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9246, kappa: 0.3459, kb_relative_information_score: 18.2629, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9456, predictive_accuracy: 0.9421, prior_entropy: 0.4067, recall: 0.9421, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.9008, kappa: 0.2798, kb_relative_information_score: -20.6675, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9008, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2886, root_relative_squared_error: 1.0996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.8899, kb_relative_information_score: -31.1508, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.8899, kb_relative_information_score: 23.9772, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2668, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -7.6237, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4514, f_measure: 0.8899, kb_relative_information_score: 0.5424, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2629, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8899, kb_relative_information_score: 3.5138, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0174, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.8899, kb_relative_information_score: -23.2781, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9174, kappa: 0.3998, kb_relative_information_score: 8.2086, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.8714, kappa: 0.2331, kb_relative_information_score: -63.7504, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8986, predictive_accuracy: 0.8512, prior_entropy: 0.4067, recall: 0.8512, relative_absolute_error: 1.0469, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.9066, kappa: 0.3042, kb_relative_information_score: -10.325, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9044, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.277, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.8549, kappa: 0.1931, kb_relative_information_score: -87.9894, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8947, predictive_accuracy: 0.8264, prior_entropy: 0.4067, recall: 0.8264, relative_absolute_error: 1.1686, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -42.2749, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9174, kappa: 0.3998, kb_relative_information_score: 8.2086, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.8769, kappa: 0.2484, kb_relative_information_score: -141.4115, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9001, predictive_accuracy: 0.8595, prior_entropy: 0.4067, recall: 0.8595, relative_absolute_error: 1.3007, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3526, root_relative_squared_error: 1.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.854, kappa: 0.2735, kb_relative_information_score: -128.9867, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9145, predictive_accuracy: 0.8182, prior_entropy: 0.4067, recall: 0.8182, relative_absolute_error: 1.4242, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.8714, kappa: 0.2331, kb_relative_information_score: -59.8628, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8986, predictive_accuracy: 0.8512, prior_entropy: 0.4067, recall: 0.8512, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.8899, kb_relative_information_score: -9.0988, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -45.6081, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.879, kappa: 0.1435, kb_relative_information_score: -24.2337, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8821, predictive_accuracy: 0.876, prior_entropy: 0.4067, recall: 0.876, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3521, root_relative_squared_error: 1.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.8776, kappa: 0.0641, kb_relative_information_score: -9.991, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8713, predictive_accuracy: 0.8843, prior_entropy: 0.4067, recall: 0.8843, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.2333, scimark_benchmark: 1586.7278, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.1768, kappa: 0.0159, kb_relative_information_score: -815.6149, mean_absolute_error: 0.8347, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9317, predictive_accuracy: 0.1653, prior_entropy: 0.4067, recall: 0.1653, relative_absolute_error: 5.8133, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.9136, root_relative_squared_error: 3.4807, scimark_benchmark: 1922.3298, usercpu_time_millis: 9796.875, usercpu_time_millis_training: 9796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.7922, kappa: 0.05, kb_relative_information_score: -180.6695, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8729, predictive_accuracy: 0.7355, prior_entropy: 0.4067, recall: 0.7355, relative_absolute_error: 1.8418, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.9592, scimark_benchmark: 1922.3298, usercpu_time_millis: 7312.5, usercpu_time_millis_training: 7312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1922.3298, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 10.2589, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.266, root_relative_squared_error: 1.0133, scimark_benchmark: 1344.3323, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1647.0323, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1391.1039, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.1768, kappa: 0.0159, kb_relative_information_score: -815.6149, mean_absolute_error: 0.8347, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9317, predictive_accuracy: 0.1653, prior_entropy: 0.4067, recall: 0.1653, relative_absolute_error: 5.8133, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.9136, root_relative_squared_error: 3.4807, scimark_benchmark: 1685.8154, usercpu_time_millis: 5430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.7922, kappa: 0.05, kb_relative_information_score: -180.6695, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8729, predictive_accuracy: 0.7355, prior_entropy: 0.4067, recall: 0.7355, relative_absolute_error: 1.8418, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.9592, scimark_benchmark: 1391.0194, usercpu_time_millis: 3540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.8825, kappa: 0.0785, kb_relative_information_score: -19.2407, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8736, predictive_accuracy: 0.8926, prior_entropy: 0.4067, recall: 0.8926, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3085, root_relative_squared_error: 1.1754, scimark_benchmark: 1665.974, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.93, kappa: 0.4652, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9275, predictive_accuracy: 0.9339, prior_entropy: 0.4067, recall: 0.9339, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.9744, scimark_benchmark: 1360.4301, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.8714, kappa: 0.2331, kb_relative_information_score: -59.8628, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8986, predictive_accuracy: 0.8512, prior_entropy: 0.4067, recall: 0.8512, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.4079, scimark_benchmark: 1257.8783, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1000.5827, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 8.4551, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.999, scimark_benchmark: 1263.7825, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.8531, kappa: 0.0812, kb_relative_information_score: -70.2448, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8744, predictive_accuracy: 0.8347, prior_entropy: 0.4067, recall: 0.8347, relative_absolute_error: 1.1512, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.5489, scimark_benchmark: 1258.7295, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.9236, kappa: 0.4307, kb_relative_information_score: 28.6505, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9219, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2704, root_relative_squared_error: 1.03, scimark_benchmark: 1506.0204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.8875, kappa: 0.0948, kb_relative_information_score: 6.763, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8767, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.1117, scimark_benchmark: 1341.392, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.8773, kappa: -0.0386, kb_relative_information_score: -13.6404, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.855, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2812, root_relative_squared_error: 1.0711, scimark_benchmark: 1032.1019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -35.0074, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9502, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.8875, kappa: 0.0948, kb_relative_information_score: 6.763, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8767, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.1117, scimark_benchmark: 1060.2277, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9174, kappa: 0.3998, kb_relative_information_score: 8.2086, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0235, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.8714, kappa: 0.2331, kb_relative_information_score: -59.8628, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8986, predictive_accuracy: 0.8512, prior_entropy: 0.4067, recall: 0.8512, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.4079, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 8.4757, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.999, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.8531, kappa: 0.0812, kb_relative_information_score: -70.2448, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8744, predictive_accuracy: 0.8347, prior_entropy: 0.4067, recall: 0.8347, relative_absolute_error: 1.1512, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.5489, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.9236, kappa: 0.4307, kb_relative_information_score: 28.6505, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9219, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2704, root_relative_squared_error: 1.03, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -5.6032, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2765, root_relative_squared_error: 1.0535, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -34.772, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9515, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9174, kappa: 0.3998, kb_relative_information_score: 8.2086, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0235, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -6.2484, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 8.353, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.9996, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.8926, kappa: 0.1133, kb_relative_information_score: 15.2167, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8809, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2856, root_relative_squared_error: 1.088, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.8926, kappa: 0.1133, kb_relative_information_score: 15.2167, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8809, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2856, root_relative_squared_error: 1.088, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -31.442, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.289, root_relative_squared_error: 1.101, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -7.3234, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2726, root_relative_squared_error: 1.0384, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.8899, kb_relative_information_score: -9.335, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2634, root_relative_squared_error: 1.0035, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.8899, kb_relative_information_score: -34.9705, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9948, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1258.4817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.8531, kappa: 0.0812, kb_relative_information_score: -70.2448, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8744, predictive_accuracy: 0.8347, prior_entropy: 0.4067, recall: 0.8347, relative_absolute_error: 1.1512, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.5489, scimark_benchmark: 706.1115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -6.2484, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 983.1026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.8899, kb_relative_information_score: -25.7576, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.247, root_relative_squared_error: 0.9412, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.8899, kb_relative_information_score: -43.6562, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0187, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.8899, kb_relative_information_score: -27.3557, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2817, root_relative_squared_error: 1.0731, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.8899, kb_relative_information_score: -24.5584, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2734, root_relative_squared_error: 1.0417, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8899, kb_relative_information_score: -25.9912, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9742, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.8899, kb_relative_information_score: -32.3688, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2682, root_relative_squared_error: 1.0218, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 1870.7932,

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