OpenML
Supervised Classification on visualizing_hamster

Supervised Classification on visualizing_hamster

Task 3756 Supervised Classification visualizing_hamster 552 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5114, kappa: 0.0139, kb_relative_information_score: 2.0868, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5118, predictive_accuracy: 0.5205, prior_entropy: 0.9937, recall: 0.5205, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6924, root_relative_squared_error: 1.3913, scimark_benchmark: 947.4269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, build_cpu_time: 0.0333, build_memory: 1235931582.137, f_measure: 0.4985, kappa: 0.0182, kb_relative_information_score: 0.1241, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5161, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0308, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, build_cpu_time: 0.0307, build_memory: 970473634.9589, f_measure: 0.4985, kappa: 0.0182, kb_relative_information_score: 0.1241, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5161, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0308, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, build_cpu_time: 0.0318, build_memory: 887912412.274, f_measure: 0.4985, kappa: 0.0182, kb_relative_information_score: 0.1241, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5161, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0308, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, build_cpu_time: 0.0318, build_memory: 674427726.137, f_measure: 0.5197, kappa: 0.0708, kb_relative_information_score: 0.2932, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5529, predictive_accuracy: 0.5616, prior_entropy: 0.9937, recall: 0.5616, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.028, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, build_cpu_time: 0.0033, build_memory: 550200542.4658, f_measure: 0.7068, kappa: 0.4083, kb_relative_information_score: 24.9356, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7151, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9551, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, build_cpu_time: 0.0101, build_memory: 962130057.4247, f_measure: 0.7513, kappa: 0.4969, kb_relative_information_score: 27.4981, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7539, predictive_accuracy: 0.7534, prior_entropy: 0.9937, recall: 0.7534, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9448, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, build_cpu_time: 0.01, build_memory: 280008279.4521, f_measure: 0.7513, kappa: 0.4969, kb_relative_information_score: 27.584, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7539, predictive_accuracy: 0.7534, prior_entropy: 0.9937, recall: 0.7534, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9441, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, build_cpu_time: 0.0094, build_memory: 625706083.1781, f_measure: 0.7513, kappa: 0.4969, kb_relative_information_score: 27.584, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7539, predictive_accuracy: 0.7534, prior_entropy: 0.9937, recall: 0.7534, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9441, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 0.0035, build_memory: 1175660677.2603, f_measure: 0.7775, kappa: 0.5504, kb_relative_information_score: 40.5687, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7853, predictive_accuracy: 0.7808, prior_entropy: 0.9937, recall: 0.7808, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9407, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 0.003, build_memory: 122400675.0685, f_measure: 0.7775, kappa: 0.5504, kb_relative_information_score: 40.5687, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7853, predictive_accuracy: 0.7808, prior_entropy: 0.9937, recall: 0.7808, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9407, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 0.0018, build_memory: 1328858940.3836, f_measure: 0.7775, kappa: 0.5504, kb_relative_information_score: 40.5687, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7853, predictive_accuracy: 0.7808, prior_entropy: 0.9937, recall: 0.7808, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9407, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 0.0013, build_memory: 2407332843.3973, f_measure: 0.7775, kappa: 0.5504, kb_relative_information_score: 40.5687, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7853, predictive_accuracy: 0.7808, prior_entropy: 0.9937, recall: 0.7808, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9407, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 0.0009, build_memory: 1106661312, f_measure: 0.7775, kappa: 0.5504, kb_relative_information_score: 40.5687, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7853, predictive_accuracy: 0.7808, prior_entropy: 0.9937, recall: 0.7808, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9407, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, build_cpu_time: 0.0158, build_memory: 361080349.0411, f_measure: 0.7107, kappa: 0.4147, kb_relative_information_score: 17.5582, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7115, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9168, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, build_cpu_time: 0.0162, build_memory: 1639984704.1096, f_measure: 0.7107, kappa: 0.4147, kb_relative_information_score: 17.5582, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7115, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9168, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, build_cpu_time: 0.0242, build_memory: 1242439326.2466, f_measure: 0.7107, kappa: 0.4147, kb_relative_information_score: 17.5582, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7115, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9168, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, build_cpu_time: 0.0273, build_memory: 237793405.2603, f_measure: 0.7107, kappa: 0.4147, kb_relative_information_score: 17.5582, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7115, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9168, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, build_cpu_time: 0.0224, build_memory: 160493793.6438, f_measure: 0.7107, kappa: 0.4147, kb_relative_information_score: 17.5582, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7115, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9168, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, build_cpu_time: 0.0407, build_memory: 885071346.1918, f_measure: 0.6021, kappa: 0.196, kb_relative_information_score: 15.8148, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6018, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2268, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, build_cpu_time: 0.0141, build_memory: 952200193.0959, f_measure: 0.5981, kappa: 0.1873, kb_relative_information_score: 14.7368, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5993, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6097, root_relative_squared_error: 1.225, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, build_cpu_time: 0.0109, build_memory: 1082990547.726, f_measure: 0.6132, kappa: 0.2175, kb_relative_information_score: 16.1211, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6137, predictive_accuracy: 0.6164, prior_entropy: 0.9937, recall: 0.6164, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5927, root_relative_squared_error: 1.191, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, build_cpu_time: 0.0036, build_memory: 1121129331.1781, f_measure: 0.5856, kappa: 0.1616, kb_relative_information_score: 13.1958, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5856, predictive_accuracy: 0.589, prior_entropy: 0.9937, recall: 0.589, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1786, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, build_cpu_time: 0.0032, build_memory: 2408208686.137, f_measure: 0.589, kappa: 0.1705, kb_relative_information_score: 7.9252, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.589, predictive_accuracy: 0.589, prior_entropy: 0.9937, recall: 0.589, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0244, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, build_cpu_time: 0.0034, build_memory: 800005541.9178, f_measure: 0.589, kappa: 0.1705, kb_relative_information_score: 7.6287, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.589, predictive_accuracy: 0.589, prior_entropy: 0.9937, recall: 0.589, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0294, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, build_cpu_time: 0.0046, build_memory: 1842664476.274, f_measure: 0.589, kappa: 0.1705, kb_relative_information_score: 7.6287, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.589, predictive_accuracy: 0.589, prior_entropy: 0.9937, recall: 0.589, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0294, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 0.1856, build_memory: 46442512, f_measure: 0.6579, kappa: 0.3105, kb_relative_information_score: 19.3955, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6586, predictive_accuracy: 0.6575, prior_entropy: 0.9937, recall: 0.6575, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1254, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, build_cpu_time: 0.4549, build_memory: 25813639.0137, f_measure: 0.6556, kappa: 0.3032, kb_relative_information_score: 21.8293, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6558, predictive_accuracy: 0.6575, prior_entropy: 0.9937, recall: 0.6575, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5588, root_relative_squared_error: 1.1228, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, build_cpu_time: 0.716, build_memory: 921589175.5616, f_measure: 0.6385, kappa: 0.2694, kb_relative_information_score: 20.1138, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.642, predictive_accuracy: 0.6438, prior_entropy: 0.9937, recall: 0.6438, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1536, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, build_cpu_time: 1.4975, build_memory: 15065699.0685, f_measure: 0.6813, kappa: 0.3555, kb_relative_information_score: 26.7593, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6842, predictive_accuracy: 0.6849, prior_entropy: 0.9937, recall: 0.6849, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.0908, scimark_benchmark: 940.5537,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, build_cpu_time: 2.4608, build_memory: 157206687.3425, f_measure: 0.6853, kappa: 0.3657, kb_relative_information_score: 26.0604, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6859, predictive_accuracy: 0.6849, prior_entropy: 0.9937, recall: 0.6849, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1238, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, build_cpu_time: 1.1698, build_memory: 1653533337.863, f_measure: 0.6719, kappa: 0.3399, kb_relative_information_score: 23.7219, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6735, predictive_accuracy: 0.6712, prior_entropy: 0.9937, recall: 0.6712, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1436, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 0.0453, build_memory: 608509356.6027, f_measure: 0.7068, kappa: 0.4083, kb_relative_information_score: 12.1582, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7151, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9288, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, build_cpu_time: 0.0227, build_memory: 690531751.8904, f_measure: 0.7219, kappa: 0.438, kb_relative_information_score: 11.7851, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7279, predictive_accuracy: 0.726, prior_entropy: 0.9937, recall: 0.726, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9267, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, build_cpu_time: 0.0118, build_memory: 772443317.9178, f_measure: 0.6941, kappa: 0.3818, kb_relative_information_score: 11.8228, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6993, predictive_accuracy: 0.6986, prior_entropy: 0.9937, recall: 0.6986, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9213, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.006, build_memory: 1844605352, f_measure: 0.7367, kappa: 0.4676, kb_relative_information_score: 12.6797, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7409, predictive_accuracy: 0.7397, prior_entropy: 0.9937, recall: 0.7397, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9234, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 0.0029, build_memory: 432181790.6849, f_measure: 0.6635, kappa: 0.322, kb_relative_information_score: 15.1335, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6727, predictive_accuracy: 0.6712, prior_entropy: 0.9937, recall: 0.6712, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9952, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0056, build_memory: 930956361.5342, f_measure: 0.6536, kappa: 0.2994, kb_relative_information_score: 13.2627, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6559, predictive_accuracy: 0.6575, prior_entropy: 0.9937, recall: 0.6575, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9825, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, build_cpu_time: 0.0114, build_memory: 1356636739.5069, f_measure: 0.6813, kappa: 0.3555, kb_relative_information_score: 14.1549, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6842, predictive_accuracy: 0.6849, prior_entropy: 0.9937, recall: 0.6849, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9602, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, build_cpu_time: 1.8535, build_memory: 2777951970.8493, f_measure: 0.6961, kappa: 0.3851, kb_relative_information_score: 14.3402, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6978, predictive_accuracy: 0.6986, prior_entropy: 0.9937, recall: 0.6986, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9193, scimark_benchmark: 932.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 0.1489, build_memory: 769219107.9452, f_measure: 0.6355, kappa: 0.2655, kb_relative_information_score: 13.2369, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6432, predictive_accuracy: 0.6438, prior_entropy: 0.9937, recall: 0.6438, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9335, scimark_benchmark: 941.6532,

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