Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9192, kappa: 0.1681, kb_relative_information_score: -792.5281, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9247, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8733, scimark_benchmark: 1265.2368, usercpu_time_millis: 3.953, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 3.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -669.2796, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8687, scimark_benchmark: 1285.4349, usercpu_time_millis: 49.094, usercpu_time_millis_testing: 4.307, usercpu_time_millis_training: 44.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.9063, kb_relative_information_score: -1201.394, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9351, scimark_benchmark: 1267.5412, usercpu_time_millis: 49.277, usercpu_time_millis_testing: 3.252, usercpu_time_millis_training: 46.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -635.3387, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1279.1499, usercpu_time_millis: 156.921, usercpu_time_millis_testing: 6.554, usercpu_time_millis_training: 150.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -622.6693, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1274.974, usercpu_time_millis: 70.434, usercpu_time_millis_testing: 5.829, usercpu_time_millis_training: 64.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.9063, kb_relative_information_score: -900.7875, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9046, scimark_benchmark: 1286.0658, usercpu_time_millis: 35.729, usercpu_time_millis_testing: 3.094, usercpu_time_millis_training: 32.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -901.0453, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8899, scimark_benchmark: 1258.3243, usercpu_time_millis: 60.954, usercpu_time_millis_testing: 3.869, usercpu_time_millis_training: 57.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -973.1377, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8967, scimark_benchmark: 1247.9187, usercpu_time_millis: 55.095, usercpu_time_millis_testing: 2.911, usercpu_time_millis_training: 52.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -617.3741, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1252.7133, usercpu_time_millis: 54.769, usercpu_time_millis_testing: 2.211, usercpu_time_millis_training: 52.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.9063, kb_relative_information_score: -1229.3319, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9346, scimark_benchmark: 1272.0185, usercpu_time_millis: 44.175, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 41.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -844.4951, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8851, scimark_benchmark: 1251.8653, usercpu_time_millis: 2.34, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.9063, kb_relative_information_score: -1061.4221, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9292, scimark_benchmark: 1257.6534, usercpu_time_millis: 26.407, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 23.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.9063, kb_relative_information_score: -1018.0038, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9323, scimark_benchmark: 1255.9201, usercpu_time_millis: 20.034, usercpu_time_millis_testing: 1.996, usercpu_time_millis_training: 18.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -879.6903, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8894, scimark_benchmark: 1257.1738, usercpu_time_millis: 16.545, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 15.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -660.4838, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8489, scimark_benchmark: 1260.7839, usercpu_time_millis: 92.977, usercpu_time_millis_testing: 4.669, usercpu_time_millis_training: 88.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -662.6849, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1280.1197, usercpu_time_millis: 92.123, usercpu_time_millis_testing: 6.986, usercpu_time_millis_training: 85.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -744.1661, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8662, scimark_benchmark: 1258.148, usercpu_time_millis: 67.911, usercpu_time_millis_testing: 4.903, usercpu_time_millis_training: 63.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -617.5811, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8492, scimark_benchmark: 1275.9422, usercpu_time_millis: 81.023, usercpu_time_millis_testing: 4.735, usercpu_time_millis_training: 76.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -640.9236, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8579, scimark_benchmark: 1282.6185, usercpu_time_millis: 64.029, usercpu_time_millis_testing: 4.467, usercpu_time_millis_training: 59.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -807.2166, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8885, scimark_benchmark: 1264.658, usercpu_time_millis: 66.075, usercpu_time_millis_testing: 5.821, usercpu_time_millis_training: 60.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -687.9399, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8654, scimark_benchmark: 1246.2934, usercpu_time_millis: 35.493, usercpu_time_millis_testing: 3.009, usercpu_time_millis_training: 32.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1001.9866, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9083, scimark_benchmark: 1265.8096, usercpu_time_millis: 48.773, usercpu_time_millis_testing: 4.559, usercpu_time_millis_training: 44.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.9063, kb_relative_information_score: -1064.7668, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9276, scimark_benchmark: 1279.357, usercpu_time_millis: 31.798, usercpu_time_millis_testing: 2.866, usercpu_time_millis_training: 28.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -767.8957, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, scimark_benchmark: 1263.2808, usercpu_time_millis: 26.988, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 25.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.9063, kb_relative_information_score: -1222.8411, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9519, scimark_benchmark: 1256.6701, usercpu_time_millis: 34.506, usercpu_time_millis_testing: 3.455, usercpu_time_millis_training: 31.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -764.5071, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1271.0389, usercpu_time_millis: 70.097, usercpu_time_millis_testing: 3.687, usercpu_time_millis_training: 66.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -693.5059, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1275.4768, usercpu_time_millis: 18.154, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 17.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -729.1025, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1275.7622, usercpu_time_millis: 7.759, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 7.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -574.4903, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8445, scimark_benchmark: 1282.8227, usercpu_time_millis: 183.831, usercpu_time_millis_testing: 8.336, usercpu_time_millis_training: 175.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -732.0658, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.864, scimark_benchmark: 1246.5022, usercpu_time_millis: 161.607, usercpu_time_millis_testing: 6.404, usercpu_time_millis_training: 155.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -637.9199, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1239.8635, usercpu_time_millis: 85.43, usercpu_time_millis_testing: 3.988, usercpu_time_millis_training: 81.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -740.7856, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8669, scimark_benchmark: 1278.1984, usercpu_time_millis: 72.896, usercpu_time_millis_testing: 5.553, usercpu_time_millis_training: 67.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.9063, kb_relative_information_score: -1104.1254, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.918, scimark_benchmark: 1253.1037, usercpu_time_millis: 59.292, usercpu_time_millis_testing: 3.05, usercpu_time_millis_training: 56.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.9063, kb_relative_information_score: -1023.037, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9309, scimark_benchmark: 1287.9126, usercpu_time_millis: 21.723, usercpu_time_millis_testing: 2.051, usercpu_time_millis_training: 19.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -607.9632, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8487, scimark_benchmark: 1238.8633, usercpu_time_millis: 128.122, usercpu_time_millis_testing: 6.875, usercpu_time_millis_training: 121.247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -721.8022, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1257.6333, usercpu_time_millis: 66.153, usercpu_time_millis_testing: 4.507, usercpu_time_millis_training: 61.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -680.4166, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.936, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.86, scimark_benchmark: 1257.0512, usercpu_time_millis: 61.579, usercpu_time_millis_testing: 4.239, usercpu_time_millis_training: 57.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -641.2644, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8533, scimark_benchmark: 1264.0108, usercpu_time_millis: 62.124, usercpu_time_millis_testing: 4.335, usercpu_time_millis_training: 57.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.9063, kb_relative_information_score: -1356.8309, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9462, scimark_benchmark: 1270.4698, usercpu_time_millis: 25.976, usercpu_time_millis_testing: 1.645, usercpu_time_millis_training: 24.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -752.0091, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8685, scimark_benchmark: 1270.1347, usercpu_time_millis: 12.671, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 11.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -649.8869, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.849, scimark_benchmark: 1251.7618, usercpu_time_millis: 68.396, usercpu_time_millis_testing: 3.608, usercpu_time_millis_training: 64.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9216, kappa: 0.187, kb_relative_information_score: -673.7333, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1274.596, usercpu_time_millis: 43.019, usercpu_time_millis_testing: 2.806, usercpu_time_millis_training: 40.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.9063, kb_relative_information_score: -1155.3677, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9396, scimark_benchmark: 1266.2737, usercpu_time_millis: 14.748, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 13.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.9063, kb_relative_information_score: -801.8745, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.963, scimark_benchmark: 1275.4603, usercpu_time_millis: 6.217, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 5.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -963.6626, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9003, scimark_benchmark: 1274.1577, usercpu_time_millis: 25.453, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 23.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -665.5948, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.855, scimark_benchmark: 1277.2702, usercpu_time_millis: 42.882, usercpu_time_millis_testing: 2.524, usercpu_time_millis_training: 40.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9063, kb_relative_information_score: -1196.2791, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9525, scimark_benchmark: 1257.3901, usercpu_time_millis: 18.046, usercpu_time_millis_testing: 1.568, usercpu_time_millis_training: 16.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -909.2911, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8919, scimark_benchmark: 1267.7869, usercpu_time_millis: 57.072, usercpu_time_millis_testing: 4.24, usercpu_time_millis_training: 52.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.928, kappa: 0.2688, kb_relative_information_score: -574.189, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1246.3974, usercpu_time_millis: 20.947, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 19.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9221, kappa: 0.2036, kb_relative_information_score: -587.6743, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9276, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8463, scimark_benchmark: 1275.7188, usercpu_time_millis: 17.345, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 16.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -841.5779, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8873, scimark_benchmark: 1285.6303, usercpu_time_millis: 44.359, usercpu_time_millis_testing: 3.654, usercpu_time_millis_training: 40.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9281, kappa: 0.2807, kb_relative_information_score: -553.3407, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8426, scimark_benchmark: 1279.8781, usercpu_time_millis: 55.991, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 53.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1006.8049, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9023, scimark_benchmark: 1286.5692, usercpu_time_millis: 54.918, usercpu_time_millis_testing: 3.486, usercpu_time_millis_training: 51.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -890.1865, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8872, scimark_benchmark: 1266.5365, usercpu_time_millis: 53.988, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 50.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -651.716, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1255.5771, usercpu_time_millis: 94.034, usercpu_time_millis_testing: 7.067, usercpu_time_millis_training: 86.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.9063, kb_relative_information_score: -1175.5524, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.933, scimark_benchmark: 1264.1492, usercpu_time_millis: 45.013, usercpu_time_millis_testing: 3.406, usercpu_time_millis_training: 41.607,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1089.6933, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9132, scimark_benchmark: 1260.3174, usercpu_time_millis: 13.969, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 13.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.9063, kb_relative_information_score: -1269.8717, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9406, scimark_benchmark: 1263.8459, usercpu_time_millis: 24.935, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 23.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -810.3888, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8885, scimark_benchmark: 1268.8723, usercpu_time_millis: 23.412, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 21.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -769.9737, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8777, scimark_benchmark: 1288.2859, usercpu_time_millis: 16.873, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 15.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -636.1493, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8489, scimark_benchmark: 1260.6266, usercpu_time_millis: 61.29, usercpu_time_millis_testing: 2.682, usercpu_time_millis_training: 58.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -641.5031, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8531, scimark_benchmark: 1274.0369, usercpu_time_millis: 120.081, usercpu_time_millis_testing: 7.308, usercpu_time_millis_training: 112.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9097, kappa: 0.0438, kb_relative_information_score: -821.1025, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9211, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8706, scimark_benchmark: 1284.705, usercpu_time_millis: 7.313, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 6.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -842.2841, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8819, scimark_benchmark: 1271.0433, usercpu_time_millis: 3.269, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.981,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

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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

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

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