Task
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9324, kappa: 0.8529, kb_relative_information_score: 1386.1731, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9327, predictive_accuracy: 0.9323, prior_entropy: 1.2099, recall: 0.9323, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -1061.0101, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.6881, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4531, root_relative_squared_error: 1.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: -1058.5413, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.6859, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.3377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2719, kappa: -0.0371, kb_relative_information_score: -1258.3774, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0376, prior_entropy: 1.2099, recall: 0.0376, relative_absolute_error: 1.8495, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -1217.1835, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.7476, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.5342, root_relative_squared_error: 1.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -1233.605, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.7621, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -1163.0139, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.7589, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1158.7951, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.7557, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2741, kappa: -0.2299, kb_relative_information_score: -1329.9194, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0608, prior_entropy: 1.2099, recall: 0.0608, relative_absolute_error: 1.9521, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -1223.6868, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.7559, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: -1072.4993, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.696, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.3585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -1071.5195, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.6961, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -1057.2244, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.6849, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.3361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, kb_relative_information_score: -1049.9303, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0399, prior_entropy: 1.2099, recall: 0.0399, relative_absolute_error: 1.6782, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4499, root_relative_squared_error: 1.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 1969.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1979.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 2004.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9324, kappa: 0.8532, kb_relative_information_score: 1466.512, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9338, predictive_accuracy: 0.9317, prior_entropy: 1.2099, recall: 0.9317, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4771, scimark_benchmark: 947.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8639, kappa: 0.7184, kb_relative_information_score: 1216.0332, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8647, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6075, scimark_benchmark: 948.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 44.5122, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 1.0918, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.9218, scimark_benchmark: 909.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 946.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9312, kappa: 0.8505, kb_relative_information_score: 1463.7186, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.4784, scimark_benchmark: 911.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 950.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 43.0618, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 1.0924, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 913.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8957, kappa: 0.7754, kb_relative_information_score: 1357.3671, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.897, predictive_accuracy: 0.8964, prior_entropy: 1.2099, recall: 0.8964, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.5537, scimark_benchmark: 901.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 948.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 921.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8487, kappa: 0.6764, kb_relative_information_score: 1243.7394, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8494, predictive_accuracy: 0.8495, prior_entropy: 1.2099, recall: 0.8495, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.6047, scimark_benchmark: 909.0598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9086, kappa: 0.8088, kb_relative_information_score: 1321.8445, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9117, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5011, scimark_benchmark: 925.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 926.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.5768, kb_relative_information_score: 660.1156, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.7892, scimark_benchmark: 946.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9578, kappa: 0.9151, kb_relative_information_score: -18.4992, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9649, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 1.1131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9447, scimark_benchmark: 944.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.939, kappa: 0.8666, kb_relative_information_score: -3.4752, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 1.1158, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9449, scimark_benchmark: 949.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 919.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8639, kappa: 0.7184, kb_relative_information_score: 1216.0332, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8647, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6075, scimark_benchmark: 929.8052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5768, kb_relative_information_score: -379.6831, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2365, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.361, root_relative_squared_error: 1.0678, scimark_benchmark: 897.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 945.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9578, kappa: 0.9151, kb_relative_information_score: -18.4992, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9649, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 1.1131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9447, scimark_benchmark: 910.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8632, kappa: 0.7204, kb_relative_information_score: 1185.3949, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8624, predictive_accuracy: 0.8709, prior_entropy: 1.2099, recall: 0.8709, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6167, scimark_benchmark: 947.1501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 949.0261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 916.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8487, kappa: 0.6764, kb_relative_information_score: 1243.7394, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8494, predictive_accuracy: 0.8495, prior_entropy: 1.2099, recall: 0.8495, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.6047, scimark_benchmark: 946.8831,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7951, kappa: 0.6052, kb_relative_information_score: 837.2211, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7941, predictive_accuracy: 0.8148, prior_entropy: 1.2099, recall: 0.8148, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.7494, scimark_benchmark: 949.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.7997, kappa: 0.5853, kb_relative_information_score: 916.0244, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7917, predictive_accuracy: 0.8113, prior_entropy: 1.2099, recall: 0.8113, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.733, scimark_benchmark: 949.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9144, kappa: 0.8357, kb_relative_information_score: -20.793, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9283, predictive_accuracy: 0.9248, prior_entropy: 1.2099, recall: 0.9248, relative_absolute_error: 1.1211, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.9534, scimark_benchmark: 945.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8399, kappa: 0.6474, kb_relative_information_score: 1216.4144, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8384, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6906, scimark_benchmark: 2003.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8831, kappa: 0.7485, kb_relative_information_score: 1303.7491, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8831, predictive_accuracy: 0.8848, prior_entropy: 1.2099, recall: 0.8848, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5728, scimark_benchmark: 2012.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8156, kappa: 0.6452, kb_relative_information_score: -205.3666, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7959, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0129, scimark_benchmark: 2011.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9348, kappa: 0.8588, kb_relative_information_score: 1274.0518, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5107, scimark_benchmark: 2006.6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 2017.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1971.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.6977, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244, scimark_benchmark: 2009.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9448, kappa: 0.8797, kb_relative_information_score: 1527.1337, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9454, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4681, scimark_benchmark: 924.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9786, kappa: 0.9533, kb_relative_information_score: 1616.3267, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.2099, recall: 0.9786, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.2848, scimark_benchmark: 949.5752,

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