OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9662, kappa: 0.9169, kb_relative_information_score: 29340.3728, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3624, scimark_benchmark: 1372.6157, usercpu_time_millis: 970.81, usercpu_time_millis_testing: 5.955, usercpu_time_millis_training: 964.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9155, kappa: 0.7873, kb_relative_information_score: 24337.8092, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9209, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5235, scimark_benchmark: 1367.246, usercpu_time_millis: 2953.56, usercpu_time_millis_testing: 8.316, usercpu_time_millis_training: 2945.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 27622.164, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4231, scimark_benchmark: 1368.3031, usercpu_time_millis: 2079.882, usercpu_time_millis_testing: 8.457, usercpu_time_millis_training: 2071.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9356, kappa: 0.8404, kb_relative_information_score: 25459.9974, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4837, scimark_benchmark: 1724.2901, usercpu_time_millis: 374.287, usercpu_time_millis_testing: 6.89, usercpu_time_millis_training: 367.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9148, kappa: 0.7856, kb_relative_information_score: 24387.5728, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9179, prior_entropy: 0.863, recall: 0.9179, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5285, scimark_benchmark: 1787.7015, usercpu_time_millis: 569.327, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 567.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8846, kb_relative_information_score: 27559.2412, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4232, scimark_benchmark: 1907.2508, usercpu_time_millis: 234.313, usercpu_time_millis_testing: 4.362, usercpu_time_millis_training: 229.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 30091.7349, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3468, scimark_benchmark: 1370.8966, usercpu_time_millis: 8140.335, usercpu_time_millis_testing: 17.746, usercpu_time_millis_training: 8122.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9458, kappa: 0.8667, kb_relative_information_score: 27077.914, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4474, scimark_benchmark: 1363.4749, usercpu_time_millis: 8726.768, usercpu_time_millis_testing: 20.294, usercpu_time_millis_training: 8706.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29665.8775, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3546, scimark_benchmark: 1372.0608, usercpu_time_millis: 4828.277, usercpu_time_millis_testing: 14.299, usercpu_time_millis_training: 4813.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9095, kappa: 0.7744, kb_relative_information_score: 23546.2029, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9105, predictive_accuracy: 0.9114, prior_entropy: 0.863, recall: 0.9114, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5461, scimark_benchmark: 1375.7705, usercpu_time_millis: 4858.464, usercpu_time_millis_testing: 11.813, usercpu_time_millis_training: 4846.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 29813.8503, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1369.3011, usercpu_time_millis: 9337.402, usercpu_time_millis_testing: 27.388, usercpu_time_millis_training: 9310.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 29432.9074, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3824, scimark_benchmark: 1371.2054, usercpu_time_millis: 18462.695, usercpu_time_millis_testing: 23.506, usercpu_time_millis_training: 18439.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29375.207, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1370.8758, usercpu_time_millis: 2353.363, usercpu_time_millis_testing: 10.295, usercpu_time_millis_training: 2343.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29905.2501, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494, scimark_benchmark: 1371.7133, usercpu_time_millis: 10251.221, usercpu_time_millis_testing: 24.813, usercpu_time_millis_training: 10226.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29336.1331, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 1374.5983, usercpu_time_millis: 1129.61, usercpu_time_millis_testing: 15.174, usercpu_time_millis_training: 1114.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.967, kappa: 0.9188, kb_relative_information_score: 28343.266, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3674, scimark_benchmark: 1370.4985, usercpu_time_millis: 517.609, usercpu_time_millis_testing: 16.228, usercpu_time_millis_training: 501.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9159, kappa: 0.7884, kb_relative_information_score: 24210.7979, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9189, prior_entropy: 0.863, recall: 0.9189, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5223, scimark_benchmark: 1367.3171, usercpu_time_millis: 2472.236, usercpu_time_millis_testing: 9.035, usercpu_time_millis_training: 2463.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.7929, kappa: 0.4666, kb_relative_information_score: 10612.4602, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8471, predictive_accuracy: 0.821, prior_entropy: 0.863, recall: 0.821, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7704, scimark_benchmark: 1370.4979, usercpu_time_millis: 28.201, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 26.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28789.7313, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3794, scimark_benchmark: 1368.6745, usercpu_time_millis: 1001.966, usercpu_time_millis_testing: 12.177, usercpu_time_millis_training: 989.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9546, kappa: 0.8886, kb_relative_information_score: 27519.6021, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4192, scimark_benchmark: 1368.8775, usercpu_time_millis: 109.124, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 107.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.5509, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1371.1302, usercpu_time_millis: 52.838, usercpu_time_millis_testing: 8.969, usercpu_time_millis_training: 43.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9692, kappa: 0.9243, kb_relative_information_score: 29852.9303, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3416, scimark_benchmark: 1368.1554, usercpu_time_millis: 280.832, usercpu_time_millis_testing: 2.99, usercpu_time_millis_training: 277.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9655, kappa: 0.9154, kb_relative_information_score: 29492.9549, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3674, scimark_benchmark: 1369.4801, usercpu_time_millis: 78.222, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 77.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9157, kappa: 0.788, kb_relative_information_score: 24513.9942, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5233, scimark_benchmark: 1369.6923, usercpu_time_millis: 1502.005, usercpu_time_millis_testing: 4.578, usercpu_time_millis_training: 1497.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9295, kappa: 0.8248, kb_relative_information_score: 25105.7007, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9301, predictive_accuracy: 0.9306, prior_entropy: 0.863, recall: 0.9306, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5069, scimark_benchmark: 1885.6243, usercpu_time_millis: 493.311, usercpu_time_millis_testing: 1.603, usercpu_time_millis_training: 491.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29757.0468, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3539, scimark_benchmark: 1367.8904, usercpu_time_millis: 10759.886, usercpu_time_millis_testing: 17.859, usercpu_time_millis_training: 10742.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9376, kappa: 0.8454, kb_relative_information_score: 25132.2222, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4814, scimark_benchmark: 1364.8264, usercpu_time_millis: 690.737, usercpu_time_millis_testing: 8.215, usercpu_time_millis_training: 682.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9205, kappa: 0.8006, kb_relative_information_score: 24288.3106, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5123, scimark_benchmark: 1365.6732, usercpu_time_millis: 502.963, usercpu_time_millis_testing: 3.474, usercpu_time_millis_training: 499.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9528, kappa: 0.8833, kb_relative_information_score: 25868.0824, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4409, scimark_benchmark: 1368.2113, usercpu_time_millis: 369.529, usercpu_time_millis_testing: 11.951, usercpu_time_millis_training: 357.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29385.1664, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3652, scimark_benchmark: 1368.2467, usercpu_time_millis: 3221.691, usercpu_time_millis_testing: 7.563, usercpu_time_millis_training: 3214.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.951, kappa: 0.8793, kb_relative_information_score: 26764.8518, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4356, scimark_benchmark: 1371.9707, usercpu_time_millis: 1191.053, usercpu_time_millis_testing: 24.146, usercpu_time_millis_training: 1166.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9499, kappa: 0.8768, kb_relative_information_score: 26933.3363, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, scimark_benchmark: 1370.7046, usercpu_time_millis: 1814.634, usercpu_time_millis_testing: 19.305, usercpu_time_millis_training: 1795.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 29905.4962, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483, scimark_benchmark: 1369.1574, usercpu_time_millis: 4501.071, usercpu_time_millis_testing: 14.999, usercpu_time_millis_training: 4486.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9527, kappa: 0.8842, kb_relative_information_score: 27981.7593, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4187, scimark_benchmark: 1368.7207, usercpu_time_millis: 1879.641, usercpu_time_millis_testing: 3.41, usercpu_time_millis_training: 1876.231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29289.8861, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3648, scimark_benchmark: 1370.647, usercpu_time_millis: 634.541, usercpu_time_millis_testing: 3.617, usercpu_time_millis_training: 630.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.914, kappa: 0.7836, kb_relative_information_score: 24396.8571, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9193, predictive_accuracy: 0.9171, prior_entropy: 0.863, recall: 0.9171, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5371, scimark_benchmark: 1372.5208, usercpu_time_millis: 997.906, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 996.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9485, kappa: 0.8727, kb_relative_information_score: 25567.4418, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9491, prior_entropy: 0.863, recall: 0.9491, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4518, scimark_benchmark: 1368.2981, usercpu_time_millis: 517.28, usercpu_time_millis_testing: 19.736, usercpu_time_millis_training: 497.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9298, kappa: 0.8255, kb_relative_information_score: 25087.9147, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.931, prior_entropy: 0.863, recall: 0.931, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5072, scimark_benchmark: 1368.2634, usercpu_time_millis: 1361.934, usercpu_time_millis_testing: 2.754, usercpu_time_millis_training: 1359.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.3037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1369.2417, usercpu_time_millis: 60.124, usercpu_time_millis_testing: 8.581, usercpu_time_millis_training: 51.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28827.3139, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.384, scimark_benchmark: 1366.7988, usercpu_time_millis: 3283.76, usercpu_time_millis_testing: 11.591, usercpu_time_millis_training: 3272.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28249.4366, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1366.6559, usercpu_time_millis: 890.224, usercpu_time_millis_testing: 22.842, usercpu_time_millis_training: 867.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29928.8593, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1370.9768, usercpu_time_millis: 2884.35, usercpu_time_millis_testing: 4.75, usercpu_time_millis_training: 2879.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9632, kappa: 0.9098, kb_relative_information_score: 29094.5776, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, scimark_benchmark: 1367.5936, usercpu_time_millis: 7974.32, usercpu_time_millis_testing: 20.238, usercpu_time_millis_training: 7954.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28956.0146, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3745, scimark_benchmark: 1370.1223, usercpu_time_millis: 1794.725, usercpu_time_millis_testing: 16.305, usercpu_time_millis_training: 1778.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29530.7759, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1367.6886, usercpu_time_millis: 2736.649, usercpu_time_millis_testing: 8.181, usercpu_time_millis_training: 2728.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.1482, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1370.6172, usercpu_time_millis: 39.287, usercpu_time_millis_testing: 7.188, usercpu_time_millis_training: 32.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29487.1368, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567, scimark_benchmark: 1368.4215, usercpu_time_millis: 614.661, usercpu_time_millis_testing: 4.224, usercpu_time_millis_training: 610.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8207, kappa: 0.5389, kb_relative_information_score: 12195.734, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8406, prior_entropy: 0.863, recall: 0.8406, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7373, scimark_benchmark: 1762.2954, usercpu_time_millis: 78.55, usercpu_time_millis_testing: 6.348, usercpu_time_millis_training: 72.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 28961.6284, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.381, scimark_benchmark: 1757.2134, usercpu_time_millis: 219.754, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 218.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9648, kappa: 0.9138, kb_relative_information_score: 29302.8839, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.368, scimark_benchmark: 1757.8596, usercpu_time_millis: 262.679, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 260.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.955, kappa: 0.8895, kb_relative_information_score: 27871.7863, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4161, scimark_benchmark: 1766.9908, usercpu_time_millis: 375.747, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 372.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9498, kappa: 0.8769, kb_relative_information_score: 27001.4376, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1717.4916, usercpu_time_millis: 475.638, usercpu_time_millis_testing: 6.299, usercpu_time_millis_training: 469.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29843.0579, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3513, scimark_benchmark: 1747.7068, usercpu_time_millis: 156.653, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 155.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8765, kappa: 0.6985, kb_relative_information_score: 17504.3354, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.877, predictive_accuracy: 0.8761, prior_entropy: 0.863, recall: 0.8761, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6478, scimark_benchmark: 1763.8979, usercpu_time_millis: 209.831, usercpu_time_millis_testing: 4.69, usercpu_time_millis_training: 205.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.858, kappa: 0.6539, kb_relative_information_score: 15531.9234, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7396, scimark_benchmark: 1758.5013, usercpu_time_millis: 216.877, usercpu_time_millis_testing: 6.069, usercpu_time_millis_training: 210.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9527, kappa: 0.884, kb_relative_information_score: 27567.5528, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4264, scimark_benchmark: 1762.4372, usercpu_time_millis: 1605.913, usercpu_time_millis_testing: 8.149, usercpu_time_millis_training: 1597.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9302, kappa: 0.8274, kb_relative_information_score: 25849.5297, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4944, scimark_benchmark: 1724.1577, usercpu_time_millis: 1721.234, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 1717.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8633, kappa: 0.67, kb_relative_information_score: 17308.1981, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8664, predictive_accuracy: 0.8615, prior_entropy: 0.863, recall: 0.8615, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6902, scimark_benchmark: 1942.7505, usercpu_time_millis: 848.781, usercpu_time_millis_testing: 6.376, usercpu_time_millis_training: 842.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -4.0589, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1943.3152, usercpu_time_millis: 25.717, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 23.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9599, kappa: 0.9015, kb_relative_information_score: 28543.6733, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3912, scimark_benchmark: 1752.7912, usercpu_time_millis: 1156.839, usercpu_time_millis_testing: 8.985, usercpu_time_millis_training: 1147.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9145, kappa: 0.7849, kb_relative_information_score: 24326.137, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9195, predictive_accuracy: 0.9175, prior_entropy: 0.863, recall: 0.9175, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5363, scimark_benchmark: 1818.5383, usercpu_time_millis: 11.299, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 11.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.2475, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1820.4362, usercpu_time_millis: 54.109, usercpu_time_millis_testing: 7.357, usercpu_time_millis_training: 46.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.6994, kappa: 0.2351, kb_relative_information_score: 6866.4145, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8222, predictive_accuracy: 0.7649, prior_entropy: 0.863, recall: 0.7649, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8529, scimark_benchmark: 763.4337, usercpu_time_millis: 72.536, usercpu_time_millis_testing: 5.477, usercpu_time_millis_training: 67.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9573, kappa: 0.8946, kb_relative_information_score: 26486.4774, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4206, scimark_benchmark: 1769.5476, usercpu_time_millis: 132.667, usercpu_time_millis_testing: 5.714, usercpu_time_millis_training: 126.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29272.9526, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3682, scimark_benchmark: 1795.1731, usercpu_time_millis: 268.211, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 266.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8658, kappa: 0.6724, kb_relative_information_score: 17056.8382, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8664, predictive_accuracy: 0.8654, prior_entropy: 0.863, recall: 0.8654, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6887, scimark_benchmark: 1209.4435, usercpu_time_millis: 1112.051, usercpu_time_millis_testing: 14.289, usercpu_time_millis_training: 1097.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9675, kappa: 0.9204, kb_relative_information_score: 29769.0418, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3545, scimark_benchmark: 1310.2993, usercpu_time_millis: 3816.14, usercpu_time_millis_testing: 7.591, usercpu_time_millis_training: 3808.549,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs