OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.644, kappa: 0.5419, kb_relative_information_score: 103.3965, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6408, predictive_accuracy: 0.6488, prior_entropy: 2.3268, recall: 0.6488, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8024, scimark_benchmark: 1353.5464, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8239, kappa: 0.7709, kb_relative_information_score: 161.0877, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8254, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.6032, scimark_benchmark: 1385.8862, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 1352.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 1350.007, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 942.9708, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7514, kappa: 0.6767, kb_relative_information_score: 139.066, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7548, predictive_accuracy: 0.7512, prior_entropy: 2.3268, recall: 0.7512, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7802, scimark_benchmark: 1371.9645, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6528, kappa: 0.56, kb_relative_information_score: 125.6207, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6557, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8499, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6528, kappa: 0.56, kb_relative_information_score: 125.6207, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6557, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8499, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 1345.7204, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7955, kappa: 0.7332, kb_relative_information_score: 154.8731, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7986, predictive_accuracy: 0.7951, prior_entropy: 2.3268, recall: 0.7951, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.6762, scimark_benchmark: 1064.8317, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8246, kappa: 0.77, kb_relative_information_score: 157.0772, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8302, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6392, scimark_benchmark: 1327.2954, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.7043, kappa: 0.6278, kb_relative_information_score: 103.1287, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6993, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.748, scimark_benchmark: 1352.2099, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7144, kappa: 0.6324, kb_relative_information_score: 130.7322, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7143, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7814, scimark_benchmark: 1206.8386, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8298, kappa: 0.7782, kb_relative_information_score: 150.7747, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8335, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5932, scimark_benchmark: 1345.3152, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 1176.0388, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.7303, kappa: 0.6607, kb_relative_information_score: 104.0101, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7268, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.7393, scimark_benchmark: 1345.3152, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.7934, kappa: 0.7319, kb_relative_information_score: 148.3463, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7979, predictive_accuracy: 0.7951, prior_entropy: 2.3268, recall: 0.7951, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.7008, scimark_benchmark: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.603, kappa: 0.4862, kb_relative_information_score: 107.9793, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6027, predictive_accuracy: 0.6049, prior_entropy: 2.3268, recall: 0.6049, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9736, scimark_benchmark: 1151.3336, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7407, kappa: 0.6626, kb_relative_information_score: 135.0769, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7448, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7134, scimark_benchmark: 1337.0272, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.4308, kappa: 0.3008, kb_relative_information_score: 60.7963, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4301, predictive_accuracy: 0.4976, prior_entropy: 2.3268, recall: 0.4976, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9004, scimark_benchmark: 1343.6648, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.6133, kappa: 0.5012, kb_relative_information_score: 17.4047, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.634, predictive_accuracy: 0.6293, prior_entropy: 2.3268, recall: 0.6293, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9936, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.3487, kappa: 0.2432, kb_relative_information_score: 51.7771, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2779, predictive_accuracy: 0.4683, prior_entropy: 2.3268, recall: 0.4683, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.9382, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.7046, kappa: 0.6276, kb_relative_information_score: 102.8367, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6999, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.247, root_relative_squared_error: 0.7446, scimark_benchmark: 1275.9462, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.6813, kappa: 0.5964, kb_relative_information_score: 102.9634, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6756, predictive_accuracy: 0.6927, prior_entropy: 2.3268, recall: 0.6927, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.748, scimark_benchmark: 1321.5205, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8255, kappa: 0.77, kb_relative_information_score: 154.7238, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8327, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6081, scimark_benchmark: 1270.2428, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.6531, kappa: 0.5547, kb_relative_information_score: 102.7414, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6483, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8068, scimark_benchmark: 1330.8781, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.6369, kappa: 0.5351, kb_relative_information_score: 100.8311, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6311, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8179, scimark_benchmark: 1316.7714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1111.828, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.603, kappa: 0.4862, kb_relative_information_score: 107.9793, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6027, predictive_accuracy: 0.6049, prior_entropy: 2.3268, recall: 0.6049, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9736, scimark_benchmark: 1384.8417, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.5452, kappa: 0.4293, kb_relative_information_score: 100.9242, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.569, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.9638, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.4614, kappa: 0.3848, kb_relative_information_score: 54.1495, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3999, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8798, scimark_benchmark: 1358.4523, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.6143, kappa: 0.5043, kb_relative_information_score: 106.4196, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6205, predictive_accuracy: 0.6293, prior_entropy: 2.3268, recall: 0.6293, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.981, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7563, kappa: 0.6842, kb_relative_information_score: 140.7252, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7627, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7324, scimark_benchmark: 931.2336, usercpu_time_millis: 83970, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 83890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7208, kappa: 0.6417, kb_relative_information_score: 133.4284, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7253, predictive_accuracy: 0.722, prior_entropy: 2.3268, recall: 0.722, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.8496, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.5557, kappa: 0.4343, kb_relative_information_score: 45.2497, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5736, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.312, root_relative_squared_error: 0.9405, scimark_benchmark: 942.6953, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 922.9039, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 911.0478, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 939.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7955, kappa: 0.7332, kb_relative_information_score: 154.9093, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7986, predictive_accuracy: 0.7951, prior_entropy: 2.3268, recall: 0.7951, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6758, scimark_benchmark: 938.9865, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8246, kappa: 0.77, kb_relative_information_score: 157.6641, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8302, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6342, scimark_benchmark: 924.6116, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8352, kappa: 0.783, kb_relative_information_score: 155.9479, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8412, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5987, scimark_benchmark: 932.3943, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8395, kappa: 0.7911, kb_relative_information_score: 152.0541, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8427, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.5834, scimark_benchmark: 931.2336, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8099, kappa: 0.7505, kb_relative_information_score: 135.6347, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8174, predictive_accuracy: 0.8098, prior_entropy: 2.3268, recall: 0.8098, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.6454, scimark_benchmark: 938.9865, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8286, kappa: 0.7774, kb_relative_information_score: 149.7848, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8305, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5863, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8004, kappa: 0.7372, kb_relative_information_score: 134.5616, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.6485, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 29.8503, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219, scimark_benchmark: 929.0255,

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