OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 0.1413, build_memory: 208976505.1317, f_measure: 0.8386, kappa: 0.79, kb_relative_information_score: 161.5571, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8404, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6245, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, build_cpu_time: 0.0353, build_memory: 506438839.2585, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 0.1062, build_memory: 1962025487.2585, f_measure: 0.8241, kappa: 0.7712, kb_relative_information_score: 158.2231, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8257, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.6525, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, build_cpu_time: 0.0257, build_memory: 227900410.4976, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.4308, kappa: 0.3008, kb_relative_information_score: 60.7963, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4301, predictive_accuracy: 0.4976, prior_entropy: 2.3268, recall: 0.4976, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9004, scimark_benchmark: 1343.6648, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.7046, kappa: 0.6276, kb_relative_information_score: 102.8367, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6999, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.247, root_relative_squared_error: 0.7446, scimark_benchmark: 1275.9462, 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: 0.6813, kappa: 0.5964, kb_relative_information_score: 102.9634, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6756, predictive_accuracy: 0.6927, prior_entropy: 2.3268, recall: 0.6927, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.748, scimark_benchmark: 1321.5205, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.6531, kappa: 0.5547, kb_relative_information_score: 102.7414, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6483, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8068, scimark_benchmark: 1330.8781, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.6369, kappa: 0.5351, kb_relative_information_score: 100.8311, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6311, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8179, scimark_benchmark: 1316.7714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8255, kappa: 0.77, kb_relative_information_score: 154.7238, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8327, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6081, scimark_benchmark: 1270.2428, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.3487, kappa: 0.2432, kb_relative_information_score: 51.7771, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2779, predictive_accuracy: 0.4683, prior_entropy: 2.3268, recall: 0.4683, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.9382, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.6133, kappa: 0.5012, kb_relative_information_score: 17.4047, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.634, predictive_accuracy: 0.6293, prior_entropy: 2.3268, recall: 0.6293, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9936, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1111.828, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.5557, kappa: 0.4343, kb_relative_information_score: 45.2497, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5736, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.312, root_relative_squared_error: 0.9405, scimark_benchmark: 942.6953, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 911.0478, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7955, kappa: 0.7332, kb_relative_information_score: 154.9093, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7986, predictive_accuracy: 0.7951, prior_entropy: 2.3268, recall: 0.7951, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6758, scimark_benchmark: 938.9865, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8352, kappa: 0.783, kb_relative_information_score: 155.9479, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8412, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5987, scimark_benchmark: 932.3943, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8246, kappa: 0.77, kb_relative_information_score: 157.6641, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8302, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6342, scimark_benchmark: 924.6116, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8099, kappa: 0.7505, kb_relative_information_score: 135.6347, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8174, predictive_accuracy: 0.8098, prior_entropy: 2.3268, recall: 0.8098, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.6454, scimark_benchmark: 938.9865, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 29.8503, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8004, kappa: 0.7372, kb_relative_information_score: 134.5616, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.6485, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8286, kappa: 0.7774, kb_relative_information_score: 149.7848, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8305, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5863, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8395, kappa: 0.7911, kb_relative_information_score: 152.0541, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8427, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.5834, scimark_benchmark: 931.2336, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 922.9039, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7563, kappa: 0.6842, kb_relative_information_score: 140.7252, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7627, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7324, scimark_benchmark: 931.2336, usercpu_time_millis: 83970, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 83890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, build_cpu_time: 0.0927, build_memory: 245444507.9805, f_measure: 0.8773, kappa: 0.8412, kb_relative_information_score: 173.1982, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8812, predictive_accuracy: 0.878, prior_entropy: 2.3268, recall: 0.878, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.541, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, build_cpu_time: 0.8408, build_memory: 694259827.5122, f_measure: 0.8299, kappa: 0.7758, kb_relative_information_score: 160.6667, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8391, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6504, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, build_cpu_time: 0.1889, build_memory: 662999440.6634, f_measure: 0.8683, kappa: 0.828, kb_relative_information_score: 169.3758, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8733, predictive_accuracy: 0.8683, prior_entropy: 2.3268, recall: 0.8683, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5841, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.2592, build_memory: 1070649092.3317, f_measure: 0.8153, kappa: 0.7574, kb_relative_information_score: 158.4179, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8188, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6504, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, build_cpu_time: 0.0514, build_memory: 1088407060.0976, f_measure: 0.8483, kappa: 0.8028, kb_relative_information_score: 167.5286, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8513, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.587, scimark_benchmark: 890.3066,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.5403, kappa: 0.424, kb_relative_information_score: 100.9064, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5671, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7611, kappa: 0.6896, kb_relative_information_score: 143.2236, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7624, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7118, scimark_benchmark: 1237.8253, usercpu_time_millis: 7190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.3329, kappa: 0.208, kb_relative_information_score: 51.3177, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3728, predictive_accuracy: 0.3659, prior_entropy: 2.3268, recall: 0.3659, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.2758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.3619, kappa: 0.1772, kb_relative_information_score: 51.8053, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3664, predictive_accuracy: 0.3756, prior_entropy: 2.3268, recall: 0.3756, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3362, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7949, kappa: 0.7355, kb_relative_information_score: 154.9811, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7962, predictive_accuracy: 0.7951, prior_entropy: 2.3268, recall: 0.7951, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8244, kappa: 0.7703, kb_relative_information_score: 143.537, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8285, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.8503, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 205, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7258, kappa: 0.6391, kb_relative_information_score: 129.736, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7319, predictive_accuracy: 0.722, prior_entropy: 2.3268, recall: 0.722, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.5949, kappa: 0.4962, kb_relative_information_score: 107.9245, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6203, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3339, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6342, kappa: 0.5351, kb_relative_information_score: 115.2551, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6333, predictive_accuracy: 0.639, prior_entropy: 2.3268, recall: 0.639, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 29.8503, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.5949, kappa: 0.4962, kb_relative_information_score: 107.9245, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6203, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3339, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 29.8503, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.5949, kappa: 0.4962, kb_relative_information_score: 107.9245, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6203, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3339, root_relative_squared_error: 1.0065,

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