OpenML
Supervised Classification on wine

Supervised Classification on wine

Task 2382 Supervised Classification wine 544 runs submitted
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  • study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9832, kappa: 0.9745, kb_relative_information_score: 173.6142, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9836, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2283, scimark_benchmark: 924.6116, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9775, kappa: 0.966, kb_relative_information_score: 172.1642, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9782, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.2452, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 172.5896, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.2012, scimark_benchmark: 923.9763, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9888, kappa: 0.983, kb_relative_information_score: 170.7419, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9889, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.097, root_relative_squared_error: 0.2071, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.2275, kb_relative_information_score: 0.1107, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0002, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9832, kappa: 0.9744, kb_relative_information_score: 159.1756, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3013, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.2275, kb_relative_information_score: 0.1107, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9888, kappa: 0.983, kb_relative_information_score: 169.7107, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9889, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2225, scimark_benchmark: 902.4773, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 24.4253, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9269, kappa: 0.8892, kb_relative_information_score: 155.2791, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.927, predictive_accuracy: 0.927, prior_entropy: 1.5674, recall: 0.927, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3888, scimark_benchmark: 943.6956, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9604, kappa: 0.9407, kb_relative_information_score: 140.5119, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9637, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3842, scimark_benchmark: 922.9039, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.876, kappa: 0.8108, kb_relative_information_score: 81.1306, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8863, predictive_accuracy: 0.8764, prior_entropy: 1.5674, recall: 0.8764, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6984, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.2963, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2637, scimark_benchmark: 915.2795, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.3104, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2627, scimark_benchmark: 915.2795, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.2966, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2637, scimark_benchmark: 947.0793, usercpu_time_millis: 580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 171.1887, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2801, scimark_benchmark: 941.8057, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.251, kappa: 0.0199, kb_relative_information_score: 40.6571, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.4924, predictive_accuracy: 0.4101, prior_entropy: 1.5674, recall: 0.4101, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9902, scimark_benchmark: 915.2795, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.3404, build_memory: 713794692, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 161.1158, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3288, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 0.1798, build_memory: 1160551133.8876, f_measure: 0.9888, kappa: 0.9829, kb_relative_information_score: 162.4266, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3017, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.106, build_memory: 1297121262.2472, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 161.1299, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3252, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.0127, build_memory: 708756865.8876, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 170.198, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2951, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, build_cpu_time: 0.0201, build_memory: 549418350.4719, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 171.0925, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2872, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.0353, build_memory: 163184323.1011, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 171.1422, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2877, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.0271, build_memory: 299036189.3933, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 171.1422, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2877, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.0481, build_memory: 178819436.9888, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 171.1422, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2877, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.0059, build_memory: 684278165.4382, f_measure: 0.9215, kappa: 0.8802, kb_relative_information_score: 158.342, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9221, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4888, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.0024, build_memory: 756343158.6517, f_measure: 0.9215, kappa: 0.8802, kb_relative_information_score: 158.342, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9221, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4888, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.0016, build_memory: 777634314.7865, f_measure: 0.9215, kappa: 0.8802, kb_relative_information_score: 158.342, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9221, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4888, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.0014, build_memory: 875745867.0562, f_measure: 0.9215, kappa: 0.8802, kb_relative_information_score: 158.342, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9221, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4888, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.0009, build_memory: 1346658400, f_measure: 0.9215, kappa: 0.8802, kb_relative_information_score: 158.342, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9221, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4888, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.0448, build_memory: 1765653771.3258, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 157.6132, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2887, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.0476, build_memory: 1967486694.2023, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 157.6132, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2887, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.0413, build_memory: 1457713056.7191, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 157.6132, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2887, scimark_benchmark: 940.5537,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.0357, build_memory: 2733896383.5506, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 157.6132, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2887, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, build_cpu_time: 0.0935, build_memory: 639654016.7191, f_measure: 0.9381, kappa: 0.9061, kb_relative_information_score: 162.7076, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4319, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, build_cpu_time: 0.0431, build_memory: 1039703225.4382, f_measure: 0.916, kappa: 0.8716, kb_relative_information_score: 156.1021, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.917, predictive_accuracy: 0.9157, prior_entropy: 1.5674, recall: 0.9157, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5026, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 0.2345, build_memory: 773263351.8652, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 108.6815, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5924, scimark_benchmark: 933.5169,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 0.0241, build_memory: 1127599854.1124, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 157.7162, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2951, scimark_benchmark: 929.0404,

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