Task
Supervised Classification on segment

Supervised Classification on segment

Task 1800 Supervised Classification segment 311 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9272, kappa: 0.9153, kb_relative_information_score: 10630.328, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9273, predictive_accuracy: 0.9274, prior_entropy: 2.8074, recall: 0.9274, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.3722, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.919, kappa: 0.9055, kb_relative_information_score: 10234.9288, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9194, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3773, scimark_benchmark: 851.2074, usercpu_time_millis: 1670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9554, kappa: 0.948, kb_relative_information_score: 10802.5714, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9557, predictive_accuracy: 0.9554, prior_entropy: 2.8074, recall: 0.9554, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2865, scimark_benchmark: 941.6675, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9734, kappa: 0.969, kb_relative_information_score: 10943.2567, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 2.8074, recall: 0.9734, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2376, scimark_benchmark: 931.771, usercpu_time_millis: 820, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.5497, kappa: 0.43, kb_relative_information_score: 5459.9741, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.7159, predictive_accuracy: 0.5114, prior_entropy: 2.8074, recall: 0.5114, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.0677, scimark_benchmark: 941.3847, usercpu_time_millis: 3860, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9027, kappa: 0.8869, kb_relative_information_score: 10384.2871, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9026, predictive_accuracy: 0.903, prior_entropy: 2.8074, recall: 0.903, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4374, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 941.3847, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9384, kappa: 0.9282, kb_relative_information_score: 10357.185, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 2.8074, recall: 0.9384, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359, scimark_benchmark: 938.5498, usercpu_time_millis: 6650, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 6560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9734, kappa: 0.969, kb_relative_information_score: 10943.2567, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 2.8074, recall: 0.9734, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2376, scimark_benchmark: 943.1009, usercpu_time_millis: 870, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9272, kappa: 0.9153, kb_relative_information_score: 10630.328, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9273, predictive_accuracy: 0.9274, prior_entropy: 2.8074, recall: 0.9274, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.3722, scimark_benchmark: 819.5729, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9191, kappa: 0.9056, kb_relative_information_score: 10235.7495, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9195, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3771, scimark_benchmark: 936.2574, usercpu_time_millis: 1410, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.5497, kappa: 0.43, kb_relative_information_score: 5459.9741, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.7159, predictive_accuracy: 0.5114, prior_entropy: 2.8074, recall: 0.5114, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.0677, scimark_benchmark: 930.404, usercpu_time_millis: 3910, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 930.404, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9554, kappa: 0.948, kb_relative_information_score: 10802.5714, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9557, predictive_accuracy: 0.9554, prior_entropy: 2.8074, recall: 0.9554, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2865, scimark_benchmark: 941.4991, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 945.6228, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9734, kappa: 0.969, kb_relative_information_score: 10943.2567, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 2.8074, recall: 0.9734, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2376, scimark_benchmark: 901.4991, usercpu_time_millis: 840, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.976, kappa: 0.972, kb_relative_information_score: 11001.9228, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 2.8074, recall: 0.976, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2218, scimark_benchmark: 936.2727, usercpu_time_millis: 26380, usercpu_time_millis_testing: 8130, usercpu_time_millis_training: 18250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9767, kappa: 0.9728, kb_relative_information_score: 11003.5137, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 2.8074, recall: 0.9767, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.222, scimark_benchmark: 935.2002, usercpu_time_millis: 10990, usercpu_time_millis_testing: 1930, usercpu_time_millis_training: 9060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.975, kappa: 0.9708, kb_relative_information_score: 10990.7057, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 2.8074, recall: 0.975, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.2271, scimark_benchmark: 944.235, usercpu_time_millis: 6230, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9737, kappa: 0.9693, kb_relative_information_score: 10995.8922, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 2.8074, recall: 0.9737, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2304, scimark_benchmark: 932.4744, usercpu_time_millis: 2710, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9709, kappa: 0.9661, kb_relative_information_score: 10979.3393, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 2.8074, recall: 0.9709, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2387, scimark_benchmark: 894.7131, usercpu_time_millis: 1450, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0806, kb_relative_information_score: 55.741, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.0612, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.178, kappa: 0.166, kb_relative_information_score: 3571.1403, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.1517, predictive_accuracy: 0.2851, prior_entropy: 2.8074, recall: 0.2851, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9225, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.178, kappa: 0.166, kb_relative_information_score: 3571.1403, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.1517, predictive_accuracy: 0.2851, prior_entropy: 2.8074, recall: 0.2851, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9225, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.178, kappa: 0.166, kb_relative_information_score: 3571.1403, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.1517, predictive_accuracy: 0.2851, prior_entropy: 2.8074, recall: 0.2851, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9225, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.178, kappa: 0.166, kb_relative_information_score: 3571.1403, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.1517, predictive_accuracy: 0.2851, prior_entropy: 2.8074, recall: 0.2851, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9225, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.178, kappa: 0.166, kb_relative_information_score: 3571.1403, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.1517, predictive_accuracy: 0.2851, prior_entropy: 2.8074, recall: 0.2851, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9225, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0357, kb_relative_information_score: 865.744, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.0204, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9706, kappa: 0.9657, kb_relative_information_score: 11014.8284, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9707, predictive_accuracy: 0.9706, prior_entropy: 2.8074, recall: 0.9706, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.084, root_relative_squared_error: 0.2399, scimark_benchmark: 926.5859, usercpu_time_millis: 990, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.972, kappa: 0.9673, kb_relative_information_score: 10956.8539, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 2.8074, recall: 0.9719, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2391, scimark_benchmark: 933.0918, usercpu_time_millis: 9630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.4768, kappa: 0.4801, kb_relative_information_score: 3657.4831, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.4956, predictive_accuracy: 0.5544, prior_entropy: 2.8074, recall: 0.5544, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8886, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9191, kappa: 0.9056, kb_relative_information_score: 10235.7495, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9195, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3771, scimark_benchmark: 903.4813, usercpu_time_millis: 1440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.5497, kappa: 0.43, kb_relative_information_score: 5459.9741, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.7159, predictive_accuracy: 0.5114, prior_entropy: 2.8074, recall: 0.5114, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.0677, scimark_benchmark: 1319.4538, usercpu_time_millis: 5170, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9027, kappa: 0.8869, kb_relative_information_score: 10384.2871, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9026, predictive_accuracy: 0.903, prior_entropy: 2.8074, recall: 0.903, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4374, scimark_benchmark: 1337.3324, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1309.2287, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1313.11, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9554, kappa: 0.948, kb_relative_information_score: 10802.5714, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9557, predictive_accuracy: 0.9554, prior_entropy: 2.8074, recall: 0.9554, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2865, scimark_benchmark: 1313.5633, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1317.5348, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9384, kappa: 0.9282, kb_relative_information_score: 10357.185, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 2.8074, recall: 0.9384, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359, scimark_benchmark: 1317.6232, usercpu_time_millis: 7600, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 7340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9734, kappa: 0.969, kb_relative_information_score: 10943.2567, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 2.8074, recall: 0.9734, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2376, scimark_benchmark: 1367.3264, usercpu_time_millis: 770, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8073, kappa: 0.772, kb_relative_information_score: 9114.2055, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.8192, predictive_accuracy: 0.8046, prior_entropy: 2.8074, recall: 0.8046, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.6752, scimark_benchmark: 1310.6554, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.919, kappa: 0.9055, kb_relative_information_score: 10234.9288, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9194, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3773, scimark_benchmark: 1313.8988, usercpu_time_millis: 1150, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1280.9535, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1338.6409, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9554, kappa: 0.948, kb_relative_information_score: 10802.5714, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9557, predictive_accuracy: 0.9554, prior_entropy: 2.8074, recall: 0.9554, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2865, scimark_benchmark: 1336.4701, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1345.0202, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9734, kappa: 0.969, kb_relative_information_score: 10943.2567, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 2.8074, recall: 0.9734, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2376, scimark_benchmark: 1313.8988, usercpu_time_millis: 760, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1317.5857, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1325.1482, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1338.0691, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9734, kappa: 0.969, kb_relative_information_score: 10943.2567, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 2.8074, recall: 0.9734, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2376, scimark_benchmark: 1333.202, usercpu_time_millis: 680, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.956, kappa: 0.9486, kb_relative_information_score: 11013.9321, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 2.8074, recall: 0.9559, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.2875, scimark_benchmark: 1353.3951, usercpu_time_millis: 800, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9272, kappa: 0.9153, kb_relative_information_score: 10630.328, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9273, predictive_accuracy: 0.9274, prior_entropy: 2.8074, recall: 0.9274, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.3722, scimark_benchmark: 1348.841, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.5497, kappa: 0.43, kb_relative_information_score: 5459.9741, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.7159, predictive_accuracy: 0.5114, prior_entropy: 2.8074, recall: 0.5114, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.0677, scimark_benchmark: 1350.007, usercpu_time_millis: 5310, usercpu_time_millis_testing: 2400, usercpu_time_millis_training: 2910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1347.993, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 938.0414, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 1347.993, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9384, kappa: 0.9282, kb_relative_information_score: 10357.185, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 2.8074, recall: 0.9384, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359, scimark_benchmark: 940.3347, usercpu_time_millis: 5820, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9734, kappa: 0.969, kb_relative_information_score: 10943.2567, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 2.8074, recall: 0.9734, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2376, scimark_benchmark: 1326.8946, usercpu_time_millis: 780, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9541, kappa: 0.9465, kb_relative_information_score: 10995.7669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2449, number_of_instances: 11550, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2928, scimark_benchmark: 918.0213, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,

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