Task
Supervised Classification on car

Supervised Classification on car

Task 3854 Supervised Classification car 561 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9873, kappa: 0.9698, kb_relative_information_score: 1665.9016, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9873, predictive_accuracy: 0.9873, prior_entropy: 0.8813, recall: 0.9873, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2213, scimark_benchmark: 1059.8591, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.939, kappa: 0.8595, kb_relative_information_score: 1132.3179, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9483, predictive_accuracy: 0.9375, prior_entropy: 0.8813, recall: 0.9375, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.241, root_relative_squared_error: 0.526, scimark_benchmark: 937.6212, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9661, kappa: 0.92, kb_relative_information_score: 1447.6346, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9671, predictive_accuracy: 0.9659, prior_entropy: 0.8813, recall: 0.9659, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3639, scimark_benchmark: 896.937, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9837, kappa: 0.9608, kb_relative_information_score: 939.1109, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9842, predictive_accuracy: 0.9838, prior_entropy: 0.8813, recall: 0.9838, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5756, scimark_benchmark: 943.1756, usercpu_time_millis: 2650, usercpu_time_millis_testing: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9654, kappa: 0.9177, kb_relative_information_score: 1540.137, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9655, predictive_accuracy: 0.9653, prior_entropy: 0.8813, recall: 0.9653, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3951, scimark_benchmark: 1308.3432, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9522, kappa: 0.8865, kb_relative_information_score: 1515.3952, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 0.8813, recall: 0.952, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4784, scimark_benchmark: 1307.3764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1468.2318, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3943, scimark_benchmark: 1384.4422, usercpu_time_millis: 5740, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.882, kappa: 0.7086, kb_relative_information_score: 848.4091, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9005, predictive_accuracy: 0.8895, prior_entropy: 0.8813, recall: 0.8895, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6928, scimark_benchmark: 1034.2235, usercpu_time_millis: 1400, usercpu_time_millis_testing: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9745, kappa: 0.9393, kb_relative_information_score: 1256.5914, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 0.8813, recall: 0.9745, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1350.4702, usercpu_time_millis: 2010, usercpu_time_millis_testing: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1313.6093, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.8363, kappa: 0.5987, kb_relative_information_score: 1035.0892, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.8405, predictive_accuracy: 0.8432, prior_entropy: 0.8813, recall: 0.8432, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8644, scimark_benchmark: 923.6051, usercpu_time_millis: 640, usercpu_time_millis_testing: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9867, kappa: 0.9685, kb_relative_information_score: 1668.6843, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9868, predictive_accuracy: 0.9867, prior_entropy: 0.8813, recall: 0.9867, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2518, scimark_benchmark: 1316.7714, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5768, kb_relative_information_score: -0.3172, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4582, root_relative_squared_error: 1, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1311.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8178, kappa: 0.547, kb_relative_information_score: 582.0529, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.863, predictive_accuracy: 0.838, prior_entropy: 0.8813, recall: 0.838, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7486, scimark_benchmark: 1337.6765, usercpu_time_millis: 330, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.7918, kappa: 0.4826, kb_relative_information_score: 569.2347, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.8494, predictive_accuracy: 0.8189, prior_entropy: 0.8813, recall: 0.8189, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7552, scimark_benchmark: 1292.1375, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9522, kappa: 0.8865, kb_relative_information_score: 1451.0703, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 0.8813, recall: 0.952, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 1309.4998, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9506, kappa: 0.8833, kb_relative_information_score: 1402.0656, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 0.8813, recall: 0.9502, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4064, scimark_benchmark: 1310.6407, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9649, kappa: 0.9171, kb_relative_information_score: 1447.6271, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9657, predictive_accuracy: 0.9647, prior_entropy: 0.8813, recall: 0.9647, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3641, scimark_benchmark: 1351.6526, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9609, kappa: 0.9076, kb_relative_information_score: 1441.5184, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9617, predictive_accuracy: 0.9606, prior_entropy: 0.8813, recall: 0.9606, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3762, scimark_benchmark: 898.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.9239, kappa: 0.8196, kb_relative_information_score: 1376.2499, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9244, predictive_accuracy: 0.9236, prior_entropy: 0.8813, recall: 0.9236, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5867, scimark_benchmark: 1341.4524, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.9239, kappa: 0.8196, kb_relative_information_score: 1376.2499, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9244, predictive_accuracy: 0.9236, prior_entropy: 0.8813, recall: 0.9236, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5867, scimark_benchmark: 1328.4045, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1360.5374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1301.9176, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9533, kappa: 0.8894, kb_relative_information_score: 1520.5048, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9538, predictive_accuracy: 0.9531, prior_entropy: 0.8813, recall: 0.9531, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4726, scimark_benchmark: 1339.944, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9546, kappa: 0.8925, kb_relative_information_score: 1229.5822, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9552, predictive_accuracy: 0.9543, prior_entropy: 0.8813, recall: 0.9543, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4617, scimark_benchmark: 1315.4655, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1719.3479, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8813, recall: 1, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0117, root_relative_squared_error: 0.0255, scimark_benchmark: 1350.9691, usercpu_time_millis: 6610, usercpu_time_millis_training: 6610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1469.2915, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3944, scimark_benchmark: 943.1756, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.977, kappa: 0.9457, kb_relative_information_score: 1625.2524, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9778, predictive_accuracy: 0.9769, prior_entropy: 0.8813, recall: 0.9769, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3321, scimark_benchmark: 1342.5243, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9464, kappa: 0.8713, kb_relative_information_score: 676.2778, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9465, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6702, scimark_benchmark: 1344.7246, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9301, kappa: 0.8372, kb_relative_information_score: 1349.1936, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9351, predictive_accuracy: 0.9288, prior_entropy: 0.8813, recall: 0.9288, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5172, scimark_benchmark: 915.6729, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9873, kappa: 0.9699, kb_relative_information_score: 1657.4521, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9875, predictive_accuracy: 0.9873, prior_entropy: 0.8813, recall: 0.9873, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2344, scimark_benchmark: 1355.7054, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9781, kappa: 0.948, kb_relative_information_score: 1630.3621, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9783, predictive_accuracy: 0.978, prior_entropy: 0.8813, recall: 0.978, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3237, scimark_benchmark: 1292.2426, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9642, kappa: 0.9137, kb_relative_information_score: 1571.6012, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9655, predictive_accuracy: 0.9647, prior_entropy: 0.8813, recall: 0.9647, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4101, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9787, kappa: 0.9494, kb_relative_information_score: 1619.3455, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9789, predictive_accuracy: 0.9786, prior_entropy: 0.8813, recall: 0.9786, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.2945, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9807, kappa: 0.9537, kb_relative_information_score: 1643.1362, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9809, prior_entropy: 0.8813, recall: 0.9809, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.3016, scimark_benchmark: 1384.4418, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.717, kappa: 0.3375, kb_relative_information_score: 460.2549, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.7227, predictive_accuracy: 0.713, prior_entropy: 0.8813, recall: 0.713, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1694, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9845, kappa: 0.9632, kb_relative_information_score: 1658.4651, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.985, predictive_accuracy: 0.9844, prior_entropy: 0.8813, recall: 0.9844, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.125, root_relative_squared_error: 0.2728, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5768, kb_relative_information_score: -0.2113, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4582, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9455, kappa: 0.8698, kb_relative_information_score: 1484.5287, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9454, predictive_accuracy: 0.9456, prior_entropy: 0.8813, recall: 0.9456, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4929, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.942, kappa: 0.8617, kb_relative_information_score: 1468.8867, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.942, predictive_accuracy: 0.9421, prior_entropy: 0.8813, recall: 0.9421, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4932, scimark_benchmark: 945.6434, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9409, kappa: 0.8589, kb_relative_information_score: 1443.0477, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9408, predictive_accuracy: 0.941, prior_entropy: 0.8813, recall: 0.941, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4855, scimark_benchmark: 945.6434, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9409, kappa: 0.8589, kb_relative_information_score: 1440.0128, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9408, predictive_accuracy: 0.941, prior_entropy: 0.8813, recall: 0.941, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4824, scimark_benchmark: 894.7455, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9427, kappa: 0.8635, kb_relative_information_score: 1450.4348, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.8813, recall: 0.9427, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4303, scimark_benchmark: 940.2922, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9146, kappa: 0.8028, kb_relative_information_score: 1307.1008, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9232, predictive_accuracy: 0.9126, prior_entropy: 0.8813, recall: 0.9126, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5425, scimark_benchmark: 938.2848, 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: 0.8661, kappa: 0.7018, kb_relative_information_score: 979.0052, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.8938, predictive_accuracy: 0.8611, prior_entropy: 0.8813, recall: 0.8611, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6682, scimark_benchmark: 934.5243, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8611, kappa: 0.6972, kb_relative_information_score: 840.7806, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9024, predictive_accuracy: 0.8553, prior_entropy: 0.8813, recall: 0.8553, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7012, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8611, kappa: 0.6972, kb_relative_information_score: 987.1907, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9024, predictive_accuracy: 0.8553, prior_entropy: 0.8813, recall: 0.8553, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7529, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1466.5594, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.394, scimark_benchmark: 936.6206, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9522, kappa: 0.8865, kb_relative_information_score: 1451.0703, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 0.8813, recall: 0.952, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9506, kappa: 0.8833, kb_relative_information_score: 1402.0656, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 0.8813, recall: 0.9502, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4064, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9498, kappa: 0.8822, kb_relative_information_score: 1304.5101, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9525, predictive_accuracy: 0.9491, prior_entropy: 0.8813, recall: 0.9491, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4405, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.939, kappa: 0.8595, kb_relative_information_score: 1132.3179, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9483, predictive_accuracy: 0.9375, prior_entropy: 0.8813, recall: 0.9375, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.241, root_relative_squared_error: 0.526, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5768, kb_relative_information_score: -0.2113, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4582, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9491, kappa: 0.8802, kb_relative_information_score: 1462.7509, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9509, predictive_accuracy: 0.9485, prior_entropy: 0.8813, recall: 0.9485, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.4025, scimark_benchmark: 931.2336, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,

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