OpenML
Supervised Classification on teachingAssistant

Supervised Classification on teachingAssistant

Task 4654 Supervised Classification teachingAssistant 172 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9232, kappa: 0.8847, kb_relative_information_score: 1350.8983, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9234, predictive_accuracy: 0.9232, prior_entropy: 1.5845, recall: 0.9232, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4801, scimark_benchmark: 892.0148, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.6354, kappa: 0.4527, kb_relative_information_score: 455.5981, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6361, predictive_accuracy: 0.6351, prior_entropy: 1.5845, recall: 0.6351, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8535, scimark_benchmark: 894.7222, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.6276, kappa: 0.4408, kb_relative_information_score: 452.9833, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6284, predictive_accuracy: 0.6272, prior_entropy: 1.5845, recall: 0.6272, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8577, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.6227, kappa: 0.4337, kb_relative_information_score: 458.0739, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.623, predictive_accuracy: 0.6225, prior_entropy: 1.5845, recall: 0.6225, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8564, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8191, kappa: 0.7285, kb_relative_information_score: 690.9918, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8202, predictive_accuracy: 0.8192, prior_entropy: 1.5845, recall: 0.8192, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.7281, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8771, kappa: 0.8163, kb_relative_information_score: 1119.6188, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8802, predictive_accuracy: 0.8775, prior_entropy: 1.5845, recall: 0.8775, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5354, scimark_benchmark: 854.5188, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.912, kappa: 0.8678, kb_relative_information_score: 1352.8376, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9122, predictive_accuracy: 0.9119, prior_entropy: 1.5845, recall: 0.9119, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3527, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9232, kappa: 0.8847, kb_relative_information_score: 1263.0479, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9234, predictive_accuracy: 0.9232, prior_entropy: 1.5845, recall: 0.9232, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4704, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8795, kappa: 0.819, kb_relative_information_score: 1150.4031, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8813, predictive_accuracy: 0.8795, prior_entropy: 1.5845, recall: 0.8795, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5363, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.776, kappa: 0.6645, kb_relative_information_score: 933.2923, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.7789, predictive_accuracy: 0.7762, prior_entropy: 1.5845, recall: 0.7762, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7193, scimark_benchmark: 1384.4422, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.579, kappa: 0.3702, kb_relative_information_score: 303.8818, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5791, predictive_accuracy: 0.5801, prior_entropy: 1.5845, recall: 0.5801, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9354, scimark_benchmark: 1308.3432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9073, kappa: 0.8608, kb_relative_information_score: 1004.2821, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9077, predictive_accuracy: 0.9073, prior_entropy: 1.5845, recall: 0.9073, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5615, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.5248, kappa: 0.291, kb_relative_information_score: 298.9666, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5703, predictive_accuracy: 0.5265, prior_entropy: 1.5845, recall: 0.5265, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9242, scimark_benchmark: 1350.4702, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.6052, kappa: 0.4077, kb_relative_information_score: 450.341, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6052, predictive_accuracy: 0.6053, prior_entropy: 1.5845, recall: 0.6053, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8692, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.5056, kappa: 0.258, kb_relative_information_score: 486.432, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5065, predictive_accuracy: 0.5053, prior_entropy: 1.5845, recall: 0.5053, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.2184, scimark_benchmark: 1307.3764, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.6294, kappa: 0.4453, kb_relative_information_score: 624.3394, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.633, predictive_accuracy: 0.6298, prior_entropy: 1.5845, recall: 0.6298, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9133, scimark_benchmark: 1346.4887, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.9801, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.5706, kappa: 0.356, kb_relative_information_score: 622.1169, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5704, predictive_accuracy: 0.5709, prior_entropy: 1.5845, recall: 0.5709, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.1348, scimark_benchmark: 1264.0609, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.371, kappa: 0.0994, kb_relative_information_score: 165.2431, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3917, predictive_accuracy: 0.4026, prior_entropy: 1.5845, recall: 0.4026, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9704, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9172, kappa: 0.8758, kb_relative_information_score: 1128.2401, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 1.5845, recall: 0.9172, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4945, scimark_benchmark: 1337.6765, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8532, kappa: 0.777, kb_relative_information_score: 1169.2898, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8635, predictive_accuracy: 0.8517, prior_entropy: 1.5845, recall: 0.8517, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.632, scimark_benchmark: 1360.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.5683, kappa: 0.3515, kb_relative_information_score: 601.2558, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5698, predictive_accuracy: 0.5676, prior_entropy: 1.5845, recall: 0.5676, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0399, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9232, kappa: 0.8847, kb_relative_information_score: 1345.3646, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9234, predictive_accuracy: 0.9232, prior_entropy: 1.5845, recall: 0.9232, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4783, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.4584, kappa: 0.1886, kb_relative_information_score: 316.4684, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4585, predictive_accuracy: 0.4596, prior_entropy: 1.5845, recall: 0.4596, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9773, scimark_benchmark: 1305.7231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 1333.6477, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.524, kappa: 0.2862, kb_relative_information_score: 511.3844, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5257, predictive_accuracy: 0.5238, prior_entropy: 1.5845, recall: 0.5238, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1403, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.524, kappa: 0.2862, kb_relative_information_score: 511.3844, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5257, predictive_accuracy: 0.5238, prior_entropy: 1.5845, recall: 0.5238, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1403, scimark_benchmark: 1313.5726, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9172, kappa: 0.8758, kb_relative_information_score: 1336.6825, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9173, predictive_accuracy: 0.9172, prior_entropy: 1.5845, recall: 0.9172, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4918, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.5469, kappa: 0.3215, kb_relative_information_score: 416.507, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5472, predictive_accuracy: 0.5477, prior_entropy: 1.5845, recall: 0.5477, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9595, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.5481, kappa: 0.3235, kb_relative_information_score: 417.0421, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5483, predictive_accuracy: 0.549, prior_entropy: 1.5845, recall: 0.549, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9593, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.602, kappa: 0.4033, kb_relative_information_score: 637.3248, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6039, predictive_accuracy: 0.602, prior_entropy: 1.5845, recall: 0.602, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.991, scimark_benchmark: 1419.2433, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.6144, kappa: 0.4219, kb_relative_information_score: 713.1291, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1.5845, recall: 0.6146, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0755, scimark_benchmark: 1329.4984, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.5722, kappa: 0.3823, kb_relative_information_score: 96.77, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6951, predictive_accuracy: 0.5854, prior_entropy: 1.5845, recall: 0.5854, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9684, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9172, kappa: 0.8758, kb_relative_information_score: 1146.9683, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9173, predictive_accuracy: 0.9172, prior_entropy: 1.5845, recall: 0.9172, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4901, scimark_benchmark: 942.6843, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.45, kappa: 0.1766, kb_relative_information_score: 310.4646, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4495, predictive_accuracy: 0.4517, prior_entropy: 1.5845, recall: 0.4517, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9717, scimark_benchmark: 1356.2994, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.461, kappa: 0.1927, kb_relative_information_score: 311.1679, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4604, predictive_accuracy: 0.4623, prior_entropy: 1.5845, recall: 0.4623, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9736, scimark_benchmark: 1331.482, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.6297, kappa: 0.4452, kb_relative_information_score: 374.0237, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6303, predictive_accuracy: 0.6305, prior_entropy: 1.5845, recall: 0.6305, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9516, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.5489, kappa: 0.3245, kb_relative_information_score: 416.295, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5491, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9597, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.4613, kappa: 0.192, kb_relative_information_score: 312.6933, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4612, predictive_accuracy: 0.4616, prior_entropy: 1.5845, recall: 0.4616, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9863, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9192, kappa: 0.8788, kb_relative_information_score: 1342.5275, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9193, predictive_accuracy: 0.9192, prior_entropy: 1.5845, recall: 0.9192, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.232, root_relative_squared_error: 0.4922, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 915.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.4751, kappa: 0.2279, kb_relative_information_score: 355.7182, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4843, predictive_accuracy: 0.4841, prior_entropy: 1.5845, recall: 0.4841, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9905, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.4753, kappa: 0.2247, kb_relative_information_score: 396.3896, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4868, predictive_accuracy: 0.4821, prior_entropy: 1.5845, recall: 0.4821, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0084, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.3296, kappa: 0.0715, kb_relative_information_score: 181.4537, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4001, predictive_accuracy: 0.3874, prior_entropy: 1.5845, recall: 0.3874, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1069, scimark_benchmark: 899.5042, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.5429, kappa: 0.3112, kb_relative_information_score: 422.9513, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5481, predictive_accuracy: 0.5404, prior_entropy: 1.5845, recall: 0.5404, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9778, scimark_benchmark: 918.6005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5637, kappa: 0.3473, kb_relative_information_score: 477.2106, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5633, predictive_accuracy: 0.5649, prior_entropy: 1.5845, recall: 0.5649, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.936, scimark_benchmark: 1339.3974, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.5056, kappa: 0.258, kb_relative_information_score: 486.432, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5065, predictive_accuracy: 0.5053, prior_entropy: 1.5845, recall: 0.5053, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.2184, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6083, kappa: 0.4113, kb_relative_information_score: 530.2979, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6116, predictive_accuracy: 0.6073, prior_entropy: 1.5845, recall: 0.6073, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8907, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.5834, kappa: 0.375, kb_relative_information_score: 655.4842, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5834, predictive_accuracy: 0.5834, prior_entropy: 1.5845, recall: 0.5834, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0827, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.4315, kappa: 0.1464, kb_relative_information_score: 301.6022, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4324, predictive_accuracy: 0.4311, prior_entropy: 1.5845, recall: 0.4311, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.032, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.6039, kappa: 0.4044, kb_relative_information_score: 653.188, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6075, predictive_accuracy: 0.6026, prior_entropy: 1.5845, recall: 0.6026, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9775, scimark_benchmark: 1321.6263, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5783, kappa: 0.3673, kb_relative_information_score: 637.3864, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.579, predictive_accuracy: 0.5781, prior_entropy: 1.5845, recall: 0.5781, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.1251, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.3162, kappa: 0.0664, kb_relative_information_score: 215.9149, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4317, predictive_accuracy: 0.3722, prior_entropy: 1.5845, recall: 0.3722, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3726, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.4804, kappa: 0.2188, kb_relative_information_score: 450.0584, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.486, predictive_accuracy: 0.4788, prior_entropy: 1.5845, recall: 0.4788, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.483, root_relative_squared_error: 1.0247, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9087, kappa: 0.8629, kb_relative_information_score: 1321.3581, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9096, predictive_accuracy: 0.9086, prior_entropy: 1.5845, recall: 0.9086, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.5237, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9073, kappa: 0.8609, kb_relative_information_score: 1318.3506, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9075, predictive_accuracy: 0.9073, prior_entropy: 1.5845, recall: 0.9073, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5275, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.9801, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.5212, kappa: 0.2889, kb_relative_information_score: 494.6299, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5281, predictive_accuracy: 0.5265, prior_entropy: 1.5845, recall: 0.5265, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0129, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, build_cpu_time: 34.1254, build_memory: 377631989.6318, f_measure: 0.6152, kappa: 0.4233, kb_relative_information_score: 545.6174, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6184, predictive_accuracy: 0.6152, prior_entropy: 1.5845, recall: 0.6152, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.9006, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.282, build_memory: 566156465.0808, f_measure: 0.8861, kappa: 0.829, kb_relative_information_score: 948.8675, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8869, predictive_accuracy: 0.8861, prior_entropy: 1.5845, recall: 0.8861, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5542, scimark_benchmark: 944.2121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, build_cpu_time: 0.5815, build_memory: 221430324.2119, f_measure: 0.8862, kappa: 0.829, kb_relative_information_score: 945.8327, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8875, predictive_accuracy: 0.8861, prior_entropy: 1.5845, recall: 0.8861, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5556, scimark_benchmark: 944.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, build_cpu_time: 0.5718, build_memory: 207038979.8993, f_measure: 0.8862, kappa: 0.829, kb_relative_information_score: 945.8327, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8875, predictive_accuracy: 0.8861, prior_entropy: 1.5845, recall: 0.8861, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5556, scimark_benchmark: 943.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, build_cpu_time: 0.0949, build_memory: 225278899.5709, f_measure: 0.5303, kappa: 0.2983, kb_relative_information_score: 440.4382, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.531, predictive_accuracy: 0.5325, prior_entropy: 1.5845, recall: 0.5325, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9217, scimark_benchmark: 943.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, build_cpu_time: 0.0381, build_memory: 970695768.7682, f_measure: 0.5414, kappa: 0.3145, kb_relative_information_score: 442.5968, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5426, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9213, scimark_benchmark: 933.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.0338, build_memory: 1106873548.1854, f_measure: 0.546, kappa: 0.3206, kb_relative_information_score: 448.9629, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5476, predictive_accuracy: 0.547, prior_entropy: 1.5845, recall: 0.547, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9198, scimark_benchmark: 921.4578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, build_cpu_time: 0.0128, build_memory: 524122922.7338, f_measure: 0.546, kappa: 0.3205, kb_relative_information_score: 451.8689, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.547, predictive_accuracy: 0.547, prior_entropy: 1.5845, recall: 0.547, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9234, scimark_benchmark: 936.28,

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