Task
Supervised Classification on prnn_synth

Supervised Classification on prnn_synth

Task 4260 Supervised Classification prnn_synth 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8563, kappa: 0.7128, kb_relative_information_score: 1496.9872, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8578, predictive_accuracy: 0.8564, prior_entropy: 1, recall: 0.8564, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6848, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 1459.9776, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6526, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8295, kappa: 0.6592, kb_relative_information_score: 1565.7549, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6748, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8476, kappa: 0.6952, kb_relative_information_score: 1502.8699, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8476, predictive_accuracy: 0.8476, prior_entropy: 1, recall: 0.8476, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8584, kappa: 0.7168, kb_relative_information_score: 1466.7422, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8587, predictive_accuracy: 0.8584, prior_entropy: 1, recall: 0.8584, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6487, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8391, kappa: 0.6784, kb_relative_information_score: 1696, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.84, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.802, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8535, kappa: 0.7072, kb_relative_information_score: 1517.0722, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8547, predictive_accuracy: 0.8536, prior_entropy: 1, recall: 0.8536, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8215, kappa: 0.6432, kb_relative_information_score: 1570.0863, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.822, predictive_accuracy: 0.8216, prior_entropy: 1, recall: 0.8216, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6855, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8563, kappa: 0.7128, kb_relative_information_score: 1496.9872, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8578, predictive_accuracy: 0.8564, prior_entropy: 1, recall: 0.8564, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6848, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 1459.9776, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6526, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8295, kappa: 0.6592, kb_relative_information_score: 1565.7549, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6748, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8391, kappa: 0.6784, kb_relative_information_score: 1696, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.84, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.802, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8391, kappa: 0.6784, kb_relative_information_score: 1696, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.84, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.802, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8476, kappa: 0.6952, kb_relative_information_score: 1502.8699, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8476, predictive_accuracy: 0.8476, prior_entropy: 1, recall: 0.8476, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8215, kappa: 0.6432, kb_relative_information_score: 1570.0863, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.822, predictive_accuracy: 0.8216, prior_entropy: 1, recall: 0.8216, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6855, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8615, kappa: 0.7232, kb_relative_information_score: 1543.8484, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8629, predictive_accuracy: 0.8616, prior_entropy: 1, recall: 0.8616, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6486, scimark_benchmark: 938.988, usercpu_time_millis: 280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8586, kappa: 0.7176, kb_relative_information_score: 1541.8587, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8588, prior_entropy: 1, recall: 0.8588, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6498, scimark_benchmark: 934.695, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8554, kappa: 0.7112, kb_relative_information_score: 1538.4403, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8573, predictive_accuracy: 0.8556, prior_entropy: 1, recall: 0.8556, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6521, scimark_benchmark: 938.8535, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8603, kappa: 0.7208, kb_relative_information_score: 1544.8831, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8619, predictive_accuracy: 0.8604, prior_entropy: 1, recall: 0.8604, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6517, scimark_benchmark: 945.0448, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8582, kappa: 0.7168, kb_relative_information_score: 1542.1379, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.86, predictive_accuracy: 0.8584, prior_entropy: 1, recall: 0.8584, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6548, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8595, kappa: 0.7192, kb_relative_information_score: 1674.7721, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8608, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6599, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8595, kappa: 0.7192, kb_relative_information_score: 1674.7721, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8608, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6599, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8595, kappa: 0.7192, kb_relative_information_score: 1674.7721, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8608, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6599, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8595, kappa: 0.7192, kb_relative_information_score: 1674.7721, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8608, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6599, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8595, kappa: 0.7192, kb_relative_information_score: 1674.7721, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8608, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6599, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.6343, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8472, kappa: 0.6944, kb_relative_information_score: 1744.7257, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 1, recall: 0.8472, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7304, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 1758.3344, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7247, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8556, kappa: 0.7112, kb_relative_information_score: 1762.4641, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8559, predictive_accuracy: 0.8556, prior_entropy: 1, recall: 0.8556, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7307, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8476, kappa: 0.6952, kb_relative_information_score: 1727.9932, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8477, predictive_accuracy: 0.8476, prior_entropy: 1, recall: 0.8476, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 1459.9776, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6526, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8535, kappa: 0.7072, kb_relative_information_score: 1517.0722, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8547, predictive_accuracy: 0.8536, prior_entropy: 1, recall: 0.8536, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8476, kappa: 0.6952, kb_relative_information_score: 1502.8699, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8476, predictive_accuracy: 0.8476, prior_entropy: 1, recall: 0.8476, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8495, kappa: 0.6992, kb_relative_information_score: 1496.2346, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8507, predictive_accuracy: 0.8496, prior_entropy: 1, recall: 0.8496, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6682, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8215, kappa: 0.6432, kb_relative_information_score: 1570.0863, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.822, predictive_accuracy: 0.8216, prior_entropy: 1, recall: 0.8216, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6855, scimark_benchmark: 1317.5348, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8452, kappa: 0.6904, kb_relative_information_score: 1651.5033, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8454, predictive_accuracy: 0.8452, prior_entropy: 1, recall: 0.8452, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6986, scimark_benchmark: 1320.8283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8418, kappa: 0.684, kb_relative_information_score: 1429.2228, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8434, predictive_accuracy: 0.842, prior_entropy: 1, recall: 0.842, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8295, kappa: 0.6592, kb_relative_information_score: 1565.7549, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6748, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8452, kappa: 0.6904, kb_relative_information_score: 1413.435, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8455, predictive_accuracy: 0.8452, prior_entropy: 1, recall: 0.8452, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6644, scimark_benchmark: 1324.5762, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 1349.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8547, kappa: 0.7096, kb_relative_information_score: 1522.7279, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8557, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6674, scimark_benchmark: 1314.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8476, kappa: 0.6952, kb_relative_information_score: 1502.8699, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8476, predictive_accuracy: 0.8476, prior_entropy: 1, recall: 0.8476, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666, scimark_benchmark: 1332.7555, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8563, kappa: 0.7128, kb_relative_information_score: 1496.9872, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8578, predictive_accuracy: 0.8564, prior_entropy: 1, recall: 0.8564, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6848, scimark_benchmark: 1344.7524,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs