Task
Supervised Classification on analcatdata_challenger

Supervised Classification on analcatdata_challenger

Task 3876 Supervised Classification analcatdata_challenger 934 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7976, kappa: 0.12, kb_relative_information_score: -841.4754, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.906, predictive_accuracy: 0.7319, prior_entropy: 0.3712, recall: 0.7319, relative_absolute_error: 3.5503, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -907.4711, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1273, number_of_instances: 138, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 3.9268, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -907.4711, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1273, number_of_instances: 138, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 3.9268, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -907.4711, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1273, number_of_instances: 138, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 3.9268, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -907.4711, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1273, number_of_instances: 138, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 3.9268, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.8996, kappa: -0.0132, kb_relative_information_score: -848.8948, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8734, predictive_accuracy: 0.9275, prior_entropy: 0.3712, recall: 0.9275, relative_absolute_error: 3.5557, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.457, root_relative_squared_error: 1.8504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.8516, kappa: 0.1995, kb_relative_information_score: -907.4701, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.9132, predictive_accuracy: 0.8116, prior_entropy: 0.3712, recall: 0.8116, relative_absolute_error: 3.9268, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.7976, kappa: 0.12, kb_relative_information_score: -841.6684, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.906, predictive_accuracy: 0.7319, prior_entropy: 0.3712, recall: 0.7319, relative_absolute_error: 3.5521, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.8076, kappa: 0.1316, kb_relative_information_score: -239.5837, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.9072, predictive_accuracy: 0.7464, prior_entropy: 0.3712, recall: 0.7464, relative_absolute_error: 1.9919, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5036, root_relative_squared_error: 2.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.7976, kappa: 0.12, kb_relative_information_score: -260.6716, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.906, predictive_accuracy: 0.7319, prior_entropy: 0.3712, recall: 0.7319, relative_absolute_error: 2.1057, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5178, root_relative_squared_error: 2.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.7976, kappa: 0.12, kb_relative_information_score: -260.6716, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.906, predictive_accuracy: 0.7319, prior_entropy: 0.3712, recall: 0.7319, relative_absolute_error: 2.1057, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5178, root_relative_squared_error: 2.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.507, kappa: 0.0488, kb_relative_information_score: -745.6952, mean_absolute_error: 0.6014, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.9211, predictive_accuracy: 0.3986, prior_entropy: 0.3712, recall: 0.3986, relative_absolute_error: 4.7236, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.7755, root_relative_squared_error: 3.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.7976, kappa: 0.12, kb_relative_information_score: -260.6716, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.906, predictive_accuracy: 0.7319, prior_entropy: 0.3712, recall: 0.7319, relative_absolute_error: 2.1057, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5178, root_relative_squared_error: 2.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.507, kappa: 0.0488, kb_relative_information_score: -745.6952, mean_absolute_error: 0.6014, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.9211, predictive_accuracy: 0.3986, prior_entropy: 0.3712, recall: 0.3986, relative_absolute_error: 4.7236, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.7755, root_relative_squared_error: 3.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.9033, kb_relative_information_score: -12.7903, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.9033, kb_relative_information_score: -71.0171, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2482, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4694, f_measure: 0.9033, kb_relative_information_score: -50.6572, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0593, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2502, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.9033, kb_relative_information_score: -63.6244, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.245, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 2.7051, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.9033, kb_relative_information_score: -107.4813, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2577, root_relative_squared_error: 1.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.896, kappa: -0.0243, kb_relative_information_score: -96.7991, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8729, predictive_accuracy: 0.9203, prior_entropy: 0.3712, recall: 0.9203, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.8923, kappa: -0.0337, kb_relative_information_score: -52.8549, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8725, predictive_accuracy: 0.913, prior_entropy: 0.3712, recall: 0.913, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.9033, kb_relative_information_score: -47.0471, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.9033, kb_relative_information_score: -53.2014, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.9033, kb_relative_information_score: -44.7574, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.9033, kb_relative_information_score: -108.6856, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2552, root_relative_squared_error: 1.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: -4.8998, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2472, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.9033, kb_relative_information_score: -34.5925, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2474, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 2.7051, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: -4.8998, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2472, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.9033, kb_relative_information_score: -56.3192, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, f_measure: 0.9033, kb_relative_information_score: -115.621, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2602, root_relative_squared_error: 1.0533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 2.6412, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.8923, kappa: -0.0337, kb_relative_information_score: -47.7093, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8725, predictive_accuracy: 0.913, prior_entropy: 0.3712, recall: 0.913, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 2.7051, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.8996, kappa: -0.0132, kb_relative_information_score: -50.547, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8734, predictive_accuracy: 0.9275, prior_entropy: 0.3712, recall: 0.9275, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.9033, kb_relative_information_score: -42.0235, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.9033, kb_relative_information_score: -124.3786, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2664, root_relative_squared_error: 1.0787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 2.7051, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.9033, kb_relative_information_score: -85.359, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0259, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.9128, kappa: 0.2263, kb_relative_information_score: -61.1185, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.907, predictive_accuracy: 0.9203, prior_entropy: 0.3712, recall: 0.9203, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2501, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: -4.8998, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2472, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4531, f_measure: 0.9033, kb_relative_information_score: 1.0677, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, usercpu_time_millis: 0.571, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 0.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs