Task
Supervised Classification on churn

Supervised Classification on churn

Task 146227 Supervised Classification churn 2049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.7974, kappa: 0.0208, kb_relative_information_score: 1378.3918, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8542, predictive_accuracy: 0.86, prior_entropy: 0.5883, recall: 0.86, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.823, kappa: 0.159, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8334, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.7942, kappa: 0.0052, kb_relative_information_score: 1331.869, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.7905, predictive_accuracy: 0.8582, prior_entropy: 0.5883, recall: 0.8582, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.816, kappa: 0.1165, kb_relative_information_score: 1538.637, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.854, predictive_accuracy: 0.8662, prior_entropy: 0.5883, recall: 0.8662, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3658, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.9252, kappa: 0.6783, kb_relative_information_score: 3156.5961, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.925, predictive_accuracy: 0.9288, prior_entropy: 0.5883, recall: 0.9288, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.9257, kappa: 0.6809, kb_relative_information_score: 3166.9345, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9254, predictive_accuracy: 0.9292, prior_entropy: 0.5883, recall: 0.9292, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.905, kappa: 0.5764, kb_relative_information_score: 2784.4138, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9091, predictive_accuracy: 0.9144, prior_entropy: 0.5883, recall: 0.9144, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.8263, kappa: 0.1763, kb_relative_information_score: 1528.2986, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8376, predictive_accuracy: 0.8658, prior_entropy: 0.5883, recall: 0.8658, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3663, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.8231, kappa: 0.1595, kb_relative_information_score: 1492.1142, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.834, predictive_accuracy: 0.8644, prior_entropy: 0.5883, recall: 0.8644, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3682, root_relative_squared_error: 1.0568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.7995, kappa: 0.0327, kb_relative_information_score: 1357.715, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8173, predictive_accuracy: 0.8592, prior_entropy: 0.5883, recall: 0.8592, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3752, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.8001, kappa: 0.0346, kb_relative_information_score: 1404.2378, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8572, predictive_accuracy: 0.861, prior_entropy: 0.5883, recall: 0.861, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.8771, kappa: 0.4366, kb_relative_information_score: 2288.1708, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8867, predictive_accuracy: 0.8952, prior_entropy: 0.5883, recall: 0.8952, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.8991, kappa: 0.5614, kb_relative_information_score: 2551.7999, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8978, predictive_accuracy: 0.9054, prior_entropy: 0.5883, recall: 0.9054, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.9237, kappa: 0.678, kb_relative_information_score: 3073.8889, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9226, predictive_accuracy: 0.9256, prior_entropy: 0.5883, recall: 0.9256, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.7828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.8227, kappa: 0.1575, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8335, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.9231, kappa: 0.6674, kb_relative_information_score: 3120.4117, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9233, predictive_accuracy: 0.9274, prior_entropy: 0.5883, recall: 0.9274, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.9067, kappa: 0.6043, kb_relative_information_score: 2660.3531, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9051, predictive_accuracy: 0.9096, prior_entropy: 0.5883, recall: 0.9096, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.8991, kappa: 0.5587, kb_relative_information_score: 2572.4767, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8984, predictive_accuracy: 0.9062, prior_entropy: 0.5883, recall: 0.9062, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.823, kappa: 0.159, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8334, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.9031, kappa: 0.5831, kb_relative_information_score: 2613.8303, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9015, predictive_accuracy: 0.9078, prior_entropy: 0.5883, recall: 0.9078, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.8563, kappa: 0.3301, kb_relative_information_score: 1962.5113, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8699, predictive_accuracy: 0.8826, prior_entropy: 0.5883, recall: 0.8826, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.7992, kappa: 0.0299, kb_relative_information_score: 1393.8994, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8539, predictive_accuracy: 0.8606, prior_entropy: 0.5883, recall: 0.8606, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.9294, kappa: 0.6967, kb_relative_information_score: 3259.9801, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9294, predictive_accuracy: 0.9328, prior_entropy: 0.5883, recall: 0.9328, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.8247, kappa: 0.1684, kb_relative_information_score: 1507.6218, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8355, predictive_accuracy: 0.865, prior_entropy: 0.5883, recall: 0.865, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3674, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.8033, kappa: 0.0505, kb_relative_information_score: 1435.253, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.8622, prior_entropy: 0.5883, recall: 0.8622, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.824, kappa: 0.1645, kb_relative_information_score: 1497.2834, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8344, predictive_accuracy: 0.8646, prior_entropy: 0.5883, recall: 0.8646, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.368, root_relative_squared_error: 1.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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