Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 158687 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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158687 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7932, kappa: 0.086, kb_relative_information_score: 0.0562, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8506, number_of_instances: 2109, precision: 0.8295, predictive_accuracy: 0.8506, prior_entropy: 0.6212, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.349, root_relative_squared_error: 0.9654, unweighted_recall: 0.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.8078, kappa: 0.1566, kb_relative_information_score: 0.0873, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8544, number_of_instances: 2109, precision: 0.8305, predictive_accuracy: 0.8544, prior_entropy: 0.6212, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.9502, unweighted_recall: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.8078, kappa: 0.1566, kb_relative_information_score: 0.0816, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8544, number_of_instances: 2109, precision: 0.8305, predictive_accuracy: 0.8544, prior_entropy: 0.6212, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.9546, unweighted_recall: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.8078, kappa: 0.1557, kb_relative_information_score: 0.0879, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8354, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.9496, unweighted_recall: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.8268, kappa: 0.2564, kb_relative_information_score: 0.07, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8568, number_of_instances: 2109, precision: 0.8301, predictive_accuracy: 0.8568, prior_entropy: 0.6212, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9079, unweighted_recall: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.8343, kappa: 0.2929, kb_relative_information_score: -0.1938, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8606, number_of_instances: 2109, precision: 0.8371, predictive_accuracy: 0.8606, prior_entropy: 0.6212, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9263, unweighted_recall: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.8277, kappa: 0.2587, kb_relative_information_score: 0.0505, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9019, unweighted_recall: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8238, kappa: 0.2412, kb_relative_information_score: 0.0672, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8559, number_of_instances: 2109, precision: 0.8282, predictive_accuracy: 0.8559, prior_entropy: 0.6212, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.0702, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.8246, kappa: 0.2419, kb_relative_information_score: 0.0859, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8582, number_of_instances: 2109, precision: 0.8332, predictive_accuracy: 0.8582, prior_entropy: 0.6212, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.9148, unweighted_recall: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.8263, kappa: 0.2539, kb_relative_information_score: 0.0702, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8568, number_of_instances: 2109, precision: 0.8301, predictive_accuracy: 0.8568, prior_entropy: 0.6212, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.328, root_relative_squared_error: 0.9074, unweighted_recall: 0.5932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.8268, kappa: 0.2564, kb_relative_information_score: 0.07, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8568, number_of_instances: 2109, precision: 0.8301, predictive_accuracy: 0.8568, prior_entropy: 0.6212, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9079, unweighted_recall: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.8343, kappa: 0.2929, kb_relative_information_score: -0.1938, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8606, number_of_instances: 2109, precision: 0.8371, predictive_accuracy: 0.8606, prior_entropy: 0.6212, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9263, unweighted_recall: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8273, kappa: 0.2561, kb_relative_information_score: 0.0674, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9024, unweighted_recall: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.8277, kappa: 0.2587, kb_relative_information_score: 0.0505, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9019, unweighted_recall: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8261, kappa: 0.254, kb_relative_information_score: 0.0703, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8559, number_of_instances: 2109, precision: 0.8284, predictive_accuracy: 0.8559, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8238, kappa: 0.2412, kb_relative_information_score: 0.0672, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8559, number_of_instances: 2109, precision: 0.8282, predictive_accuracy: 0.8559, prior_entropy: 0.6212, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8327, kappa: 0.318, kb_relative_information_score: 0.0236, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8454, number_of_instances: 2109, precision: 0.826, predictive_accuracy: 0.8454, prior_entropy: 0.6212, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.9336, unweighted_recall: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9078, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.0702, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.8009, kappa: 0.1258, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8497, number_of_instances: 2109, precision: 0.8145, predictive_accuracy: 0.8497, prior_entropy: 0.6212, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.336, root_relative_squared_error: 0.9294, unweighted_recall: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.8255, kappa: 0.2501, kb_relative_information_score: 0.0703, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8292, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.9067, unweighted_recall: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8176, kappa: 0.2072, kb_relative_information_score: 0.0617, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8278, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9062, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.8255, kappa: 0.2501, kb_relative_information_score: 0.0703, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8292, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.9067, unweighted_recall: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.0702, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8176, kappa: 0.2072, kb_relative_information_score: 0.0617, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8278, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9062, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8273, kappa: 0.2561, kb_relative_information_score: 0.0674, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9024, unweighted_recall: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.8009, kappa: 0.1258, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8497, number_of_instances: 2109, precision: 0.8145, predictive_accuracy: 0.8497, prior_entropy: 0.6212, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.336, root_relative_squared_error: 0.9294, unweighted_recall: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8273, kappa: 0.2561, kb_relative_information_score: 0.0674, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9024, unweighted_recall: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.8255, kappa: 0.2501, kb_relative_information_score: 0.0703, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8292, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.9067, unweighted_recall: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.8009, kappa: 0.1258, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8497, number_of_instances: 2109, precision: 0.8145, predictive_accuracy: 0.8497, prior_entropy: 0.6212, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.336, root_relative_squared_error: 0.9294, unweighted_recall: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8273, kappa: 0.2561, kb_relative_information_score: 0.0674, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9024, unweighted_recall: 0.5931,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8268, kappa: 0.2564, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8568, number_of_instances: 2109, precision: 0.8301, predictive_accuracy: 0.8568, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9078, unweighted_recall: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.8009, kappa: 0.1258, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8497, number_of_instances: 2109, precision: 0.8145, predictive_accuracy: 0.8497, prior_entropy: 0.6212, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.336, root_relative_squared_error: 0.9294, unweighted_recall: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8273, kappa: 0.2561, kb_relative_information_score: 0.0674, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8587, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8587, prior_entropy: 0.6212, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9024, unweighted_recall: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 0.0704, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8563, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.6212, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.908, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 0.067, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8554, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.6212, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, unweighted_recall: 0.5861,

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