OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.8969, kappa: 0.0142, kb_relative_information_score: -7301.5108, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.878, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 3.7944, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.9068, kappa: 0.1211, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9083, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.9008, kappa: 0.1045, kb_relative_information_score: 144.6584, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8891, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.9047, kappa: 0.1217, kb_relative_information_score: 248.0407, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8964, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2596, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.9094, kappa: 0.1548, kb_relative_information_score: -786.5944, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9089, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.9046, kappa: 0.1103, kb_relative_information_score: -591.8343, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.8971, kb_relative_information_score: -0.2845, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.91, kappa: 0.1578, kb_relative_information_score: -108.5452, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9116, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: -269.3007, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9178, kappa: 0.2755, kb_relative_information_score: -283.9956, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9133, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.9116, kappa: 0.1943, kb_relative_information_score: -25.9521, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9072, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.9167, kappa: 0.2547, kb_relative_information_score: -177.2438, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9131, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.9193, kappa: 0.2692, kb_relative_information_score: -127.0504, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.919, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.9019, kappa: 0.0749, kb_relative_information_score: -7259.7084, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8939, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 3.7629, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.8971, kb_relative_information_score: -512.8211, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.8971, kb_relative_information_score: 5.2915, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.9171, kappa: 0.2489, kb_relative_information_score: -336.6792, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9154, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.9201, kappa: 0.3019, kb_relative_information_score: -296.4149, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9159, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.8936, kappa: 0.2127, kb_relative_information_score: -457.692, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8985, predictive_accuracy: 0.8891, prior_entropy: 0.3667, recall: 0.8891, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.324, root_relative_squared_error: 1.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: 265.435, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.9138, kappa: 0.2893, kb_relative_information_score: 39.9439, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9092, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.9241, kappa: 0.3249, kb_relative_information_score: -169.1072, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9231, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.9144, kappa: 0.3112, kb_relative_information_score: 64.9495, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9114, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2855, root_relative_squared_error: 1.1231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.902, kappa: 0.2504, kb_relative_information_score: -148.2814, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.9008, prior_entropy: 0.3667, recall: 0.9008, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -235.5668, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.9198, kappa: 0.2864, kb_relative_information_score: -175.7237, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.9156, kappa: 0.3564, kb_relative_information_score: 93.107, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2862, root_relative_squared_error: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.9262, kappa: 0.3841, kb_relative_information_score: 276.9373, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9226, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.918, kappa: 0.2619, kb_relative_information_score: 8.8396, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9158, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -2154.7506, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 1.5229, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3121, root_relative_squared_error: 1.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9118, kappa: 0.2661, kb_relative_information_score: 29.7316, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9065, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2709, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.9275, kappa: 0.3966, kb_relative_information_score: 275.8436, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9241, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.9138, kappa: 0.3081, kb_relative_information_score: -74.471, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9109, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.247, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.9098, kappa: 0.185, kb_relative_information_score: -98.8819, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.9172, kappa: 0.272, kb_relative_information_score: -613.45, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9123, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.9172, kappa: 0.272, kb_relative_information_score: -613.45, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9123, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.9098, kappa: 0.185, kb_relative_information_score: -86.8798, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.9059, kappa: 0.1376, kb_relative_information_score: -54.092, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.898, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: -499.3365, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.9044, kappa: 0.098, kb_relative_information_score: -56.6926, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9011, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.117, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.117, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.9285, kappa: 0.3861, kb_relative_information_score: -173.1491, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9255, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.8748,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.9291, kappa: 0.3953, kb_relative_information_score: -189.289, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9261, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -208.3584, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.9237, kappa: 0.3411, kb_relative_information_score: -243.1687, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.9416,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: -219.1092, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9046, kappa: 0.1103, kb_relative_information_score: -192.7666, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.9652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -208.3584, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -208.3584, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.925, kappa: 0.3489, kb_relative_information_score: -195.303, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9219, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -208.3584, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -208.3584, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -208.3584, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -208.3584, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.9223, kappa: 0.3456, kb_relative_information_score: 183.6041, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.918, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9157, kappa: 0.2252, kb_relative_information_score: -242.6163, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9127,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.9082, kappa: 0.1488, kb_relative_information_score: 262.7668, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9044, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.9092, kappa: 0.1821, kb_relative_information_score: 219.8183, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: 305.7153, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.9094, kappa: 0.1548, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9089, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.9285, kappa: 0.3754, kb_relative_information_score: 370.1381, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9269, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -198.9297, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.2995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.8971, kb_relative_information_score: 273.1004, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2634, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.9114, kappa: 0.202, kb_relative_information_score: -254.0278, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9055, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -224.6915, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3272, root_relative_squared_error: 1.2871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: 11.8914, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.9975,

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