Task
Supervised Classification on analcatdata_boxing1

Supervised Classification on analcatdata_boxing1

Task 4245 Supervised Classification analcatdata_boxing1 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8299, kappa: 0.6184, kb_relative_information_score: 0.3733, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4557, weighted_recall: 0.8367, number_of_instances: 1200, precision: 0.8394, predictive_accuracy: 0.8367, prior_entropy: 0.9341, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7549, scimark_benchmark: 931.1106, unweighted_recall: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8297, kappa: 0.6251, kb_relative_information_score: 0.5864, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4557, weighted_recall: 0.83, number_of_instances: 1200, precision: 0.8295, predictive_accuracy: 0.83, prior_entropy: 0.9341, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7933, scimark_benchmark: 979.7764, unweighted_recall: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8522, kappa: 0.6694, kb_relative_information_score: 657.052, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8581, predictive_accuracy: 0.8567, prior_entropy: 0.9362, recall: 0.8567, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7322, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7904, kappa: 0.537, kb_relative_information_score: 387.4745, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7897, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7976, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8275, kappa: 0.6167, kb_relative_information_score: 619.418, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8277, predictive_accuracy: 0.83, prior_entropy: 0.9362, recall: 0.83, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7292, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8258, kappa: 0.6129, kb_relative_information_score: 554.324, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.826, predictive_accuracy: 0.8283, prior_entropy: 0.9362, recall: 0.8283, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7242, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8075, kappa: 0.5683, kb_relative_information_score: 517.5054, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.815, predictive_accuracy: 0.815, prior_entropy: 0.9362, recall: 0.815, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7924, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8398, kappa: 0.6435, kb_relative_information_score: 645.6031, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8407, predictive_accuracy: 0.8425, prior_entropy: 0.9362, recall: 0.8425, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7011, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8507, kappa: 0.6669, kb_relative_information_score: 588.1156, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8537, predictive_accuracy: 0.8542, prior_entropy: 0.9362, recall: 0.8542, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7426, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5474, kappa: 0.058, kb_relative_information_score: 284.3289, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7793, predictive_accuracy: 0.6658, prior_entropy: 0.9362, recall: 0.6658, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5781, root_relative_squared_error: 1.212, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8299, kappa: 0.6184, kb_relative_information_score: 446.8878, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8394, predictive_accuracy: 0.8367, prior_entropy: 0.9362, recall: 0.8367, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7549, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8522, kappa: 0.6694, kb_relative_information_score: 657.052, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8581, predictive_accuracy: 0.8567, prior_entropy: 0.9362, recall: 0.8567, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7322, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7904, kappa: 0.537, kb_relative_information_score: 387.4745, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7897, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7976, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8275, kappa: 0.6167, kb_relative_information_score: 619.418, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8277, predictive_accuracy: 0.83, prior_entropy: 0.9362, recall: 0.83, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7292, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5474, kappa: 0.058, kb_relative_information_score: 284.3289, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7793, predictive_accuracy: 0.6658, prior_entropy: 0.9362, recall: 0.6658, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5781, root_relative_squared_error: 1.212, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5474, kappa: 0.058, kb_relative_information_score: 284.3289, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7793, predictive_accuracy: 0.6658, prior_entropy: 0.9362, recall: 0.6658, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5781, root_relative_squared_error: 1.212, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8075, kappa: 0.5683, kb_relative_information_score: 517.5054, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.815, predictive_accuracy: 0.815, prior_entropy: 0.9362, recall: 0.815, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7924, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8299, kappa: 0.6184, kb_relative_information_score: 446.8878, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8394, predictive_accuracy: 0.8367, prior_entropy: 0.9362, recall: 0.8367, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7549, scimark_benchmark: 936.3213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8206, kappa: 0.5977, kb_relative_information_score: 456.5086, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8288, predictive_accuracy: 0.8275, prior_entropy: 0.9362, recall: 0.8275, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.757, scimark_benchmark: 870.2101, usercpu_time_millis: 870, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8159, kappa: 0.5874, kb_relative_information_score: 463.6783, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8225, predictive_accuracy: 0.8225, prior_entropy: 0.9362, recall: 0.8225, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.754, scimark_benchmark: 933.4823, usercpu_time_millis: 310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8232, kappa: 0.6039, kb_relative_information_score: 461.3796, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8293, predictive_accuracy: 0.8292, prior_entropy: 0.9362, recall: 0.8292, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7605, scimark_benchmark: 939.7241, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8087, kappa: 0.571, kb_relative_information_score: 443.7301, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8156, predictive_accuracy: 0.8158, prior_entropy: 0.9362, recall: 0.8158, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7745, scimark_benchmark: 945.2015, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7942, kappa: 0.5397, kb_relative_information_score: 440.7993, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7968, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7865, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8452, kappa: 0.6584, kb_relative_information_score: 703.5367, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8448, predictive_accuracy: 0.8458, prior_entropy: 0.9362, recall: 0.8458, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7581, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8452, kappa: 0.6584, kb_relative_information_score: 703.6309, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8448, predictive_accuracy: 0.8458, prior_entropy: 0.9362, recall: 0.8458, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7579, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8443, kappa: 0.6563, kb_relative_information_score: 703.6246, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8439, predictive_accuracy: 0.845, prior_entropy: 0.9362, recall: 0.845, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7564, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8466, kappa: 0.6609, kb_relative_information_score: 702.3481, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8462, predictive_accuracy: 0.8475, prior_entropy: 0.9362, recall: 0.8475, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7355, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8257, kappa: 0.6148, kb_relative_information_score: 642.9575, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8251, predictive_accuracy: 0.8267, prior_entropy: 0.9362, recall: 0.8267, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7107, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.5121, kb_relative_information_score: -2.2466, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9362, recall: 0.65, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0006, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.7973, kappa: 0.5446, kb_relative_information_score: 678.522, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8079, predictive_accuracy: 0.8067, prior_entropy: 0.9362, recall: 0.8067, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8148, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7813, kappa: 0.5081, kb_relative_information_score: 638.7135, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8119, predictive_accuracy: 0.7983, prior_entropy: 0.9362, recall: 0.7983, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.85, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7477, kappa: 0.436, kb_relative_information_score: 575.9215, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8083, predictive_accuracy: 0.7767, prior_entropy: 0.9362, recall: 0.7767, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9044, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7061, kappa: 0.348, kb_relative_information_score: 487.3806, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7849, predictive_accuracy: 0.7475, prior_entropy: 0.9362, recall: 0.7475, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9851, scimark_benchmark: 940.0055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8258, kappa: 0.6129, kb_relative_information_score: 554.324, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.826, predictive_accuracy: 0.8283, prior_entropy: 0.9362, recall: 0.8283, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7242, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8507, kappa: 0.6669, kb_relative_information_score: 588.1156, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8537, predictive_accuracy: 0.8542, prior_entropy: 0.9362, recall: 0.8542, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7426, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8299, kappa: 0.6184, kb_relative_information_score: 446.8878, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8394, predictive_accuracy: 0.8367, prior_entropy: 0.9362, recall: 0.8367, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7549, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7718, kappa: 0.4873, kb_relative_information_score: 447.2182, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7805, predictive_accuracy: 0.7825, prior_entropy: 0.9362, recall: 0.7825, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8164, scimark_benchmark: 1317.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7904, kappa: 0.537, kb_relative_information_score: 387.4745, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7897, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7976, scimark_benchmark: 1350.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8275, kappa: 0.6167, kb_relative_information_score: 619.418, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8277, predictive_accuracy: 0.83, prior_entropy: 0.9362, recall: 0.83, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7292, scimark_benchmark: 1321.8132, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8164, kappa: 0.5909, kb_relative_information_score: 659.5085, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8174, predictive_accuracy: 0.82, prior_entropy: 0.9362, recall: 0.82, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.786, scimark_benchmark: 1324.5762, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5474, kappa: 0.058, kb_relative_information_score: 284.3289, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7793, predictive_accuracy: 0.6658, prior_entropy: 0.9362, recall: 0.6658, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5781, root_relative_squared_error: 1.212, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8185, kappa: 0.5961, kb_relative_information_score: 527.3876, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8191, predictive_accuracy: 0.8217, prior_entropy: 0.9362, recall: 0.8217, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7492, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8075, kappa: 0.5683, kb_relative_information_score: 517.5054, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.815, predictive_accuracy: 0.815, prior_entropy: 0.9362, recall: 0.815, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7924, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8398, kappa: 0.6435, kb_relative_information_score: 645.6031, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8407, predictive_accuracy: 0.8425, prior_entropy: 0.9362, recall: 0.8425, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7011, scimark_benchmark: 1336.4564, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8299, kappa: 0.6184, kb_relative_information_score: 446.8878, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.8394, predictive_accuracy: 0.8367, prior_entropy: 0.9362, recall: 0.8367, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7549, scimark_benchmark: 1350.4825, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5474, kappa: 0.058, kb_relative_information_score: 284.3289, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4557, number_of_instances: 1200, precision: 0.7793, predictive_accuracy: 0.6658, prior_entropy: 0.9362, recall: 0.6658, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5781, root_relative_squared_error: 1.212, scimark_benchmark: 1322.8636, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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