OpenML
Supervised Classification on churn

Supervised Classification on churn

Task 167141 Supervised Classification churn 5464 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.9131, kappa: 0.6392, kb_relative_information_score: 2768.9062, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9125, predictive_accuracy: 0.9138, prior_entropy: 0.5883, recall: 0.9138, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8426,
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: 0.8106, f_measure: 0.925, kappa: 0.6781, kb_relative_information_score: 3146.2577, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9246, predictive_accuracy: 0.9284, prior_entropy: 0.5883, recall: 0.9284, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.9169, kappa: 0.6537, kb_relative_information_score: 2877.4594, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9161, predictive_accuracy: 0.918, prior_entropy: 0.5883, recall: 0.918, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.8962, kappa: 0.5737, kb_relative_information_score: 2308.8476, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8965, predictive_accuracy: 0.896, prior_entropy: 0.5883, recall: 0.896, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.8035, kappa: 0.0514, kb_relative_information_score: 1445.5914, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.87, predictive_accuracy: 0.8626, prior_entropy: 0.5883, recall: 0.8626, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3707, root_relative_squared_error: 1.0638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.8776, kappa: 0.4385, kb_relative_information_score: 2303.6784, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8878, predictive_accuracy: 0.8958, prior_entropy: 0.5883, recall: 0.8958, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9264,
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: 0.7055, f_measure: 0.8922, kappa: 0.5129, kb_relative_information_score: 2546.6307, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8986, predictive_accuracy: 0.9052, prior_entropy: 0.5883, recall: 0.9052, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.8837,
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: 0.8197, f_measure: 0.9287, kappa: 0.6948, kb_relative_information_score: 3234.1341, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9284, predictive_accuracy: 0.9318, prior_entropy: 0.5883, recall: 0.9318, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.7495,
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: 0.715, f_measure: 0.8954, kappa: 0.5294, kb_relative_information_score: 2598.3227, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9007, predictive_accuracy: 0.9072, prior_entropy: 0.5883, recall: 0.9072, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.9218, kappa: 0.6644, kb_relative_information_score: 3068.7197, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9212, predictive_accuracy: 0.9254, prior_entropy: 0.5883, recall: 0.9254, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.9307, kappa: 0.7062, kb_relative_information_score: 3259.9801, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9299, 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: 0.5, 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: 0.7823, f_measure: 0.9187, kappa: 0.6446, kb_relative_information_score: 3042.8738, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.92, predictive_accuracy: 0.9244, prior_entropy: 0.5883, recall: 0.9244, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.275, root_relative_squared_error: 0.7891,
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: 0.5542, f_measure: 0.8236, kappa: 0.1625, kb_relative_information_score: 1492.1142, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8339, 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: 0.7972, f_measure: 0.9221, kappa: 0.6629, kb_relative_information_score: 3099.7349, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9224, predictive_accuracy: 0.9266, prior_entropy: 0.5883, recall: 0.9266, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.8798, kappa: 0.4501, kb_relative_information_score: 2334.6936, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.889, predictive_accuracy: 0.897, prior_entropy: 0.5883, recall: 0.897, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.7938, kappa: 0.0032, kb_relative_information_score: 1331.869, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.7845, 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: 0.5, 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: 0.5849, f_measure: 0.8426, kappa: 0.2535, kb_relative_information_score: 1859.1273, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8739, predictive_accuracy: 0.8786, prior_entropy: 0.5883, recall: 0.8786, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3484, root_relative_squared_error: 1,
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: 0.7873, f_measure: 0.903, kappa: 0.5939, kb_relative_information_score: 2531.1231, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9017, predictive_accuracy: 0.9046, prior_entropy: 0.5883, recall: 0.9046, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.8452, kappa: 0.269, kb_relative_information_score: 1859.1273, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8689, predictive_accuracy: 0.8786, prior_entropy: 0.5883, recall: 0.8786, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3484, root_relative_squared_error: 1,
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: 0.8015, f_measure: 0.9212, kappa: 0.6613, kb_relative_information_score: 3058.3814, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9207, predictive_accuracy: 0.925, prior_entropy: 0.5883, recall: 0.925, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.786,
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: 0.8269, f_measure: 0.9304, kappa: 0.7032, kb_relative_information_score: 3265.1493, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9299, predictive_accuracy: 0.933, prior_entropy: 0.5883, recall: 0.933, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.9033, kappa: 0.5843, kb_relative_information_score: 2618.9995, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9017, predictive_accuracy: 0.908, prior_entropy: 0.5883, recall: 0.908, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.8299, kappa: 0.1951, kb_relative_information_score: 1574.8214, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8419, predictive_accuracy: 0.8676, prior_entropy: 0.5883, recall: 0.8676, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3639, root_relative_squared_error: 1.0443,
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: 0.7443, f_measure: 0.907, kappa: 0.5855, kb_relative_information_score: 2825.7674, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9111, predictive_accuracy: 0.916, prior_entropy: 0.5883, recall: 0.916, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8318,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.8948, kappa: 0.523, kb_relative_information_score: 2624.1687, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9037, predictive_accuracy: 0.9082, prior_entropy: 0.5883, recall: 0.9082, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.303, root_relative_squared_error: 0.8696,
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: 0.8188, f_measure: 0.9264, kappa: 0.6862, kb_relative_information_score: 3166.9345, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9257, 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: 0.5352, f_measure: 0.8147, kappa: 0.1117, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8401, 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,
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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: 0.8375, f_measure: 0.9259, kappa: 0.6912, kb_relative_information_score: 3104.9041, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9252, predictive_accuracy: 0.9268, prior_entropy: 0.5883, recall: 0.9268, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.7765,
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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: 0.5, 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: 0.5549, 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: 0.5523, 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: 0.5026, f_measure: 0.795, kappa: 0.0089, kb_relative_information_score: 1352.5458, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.832, predictive_accuracy: 0.859, prior_entropy: 0.5883, recall: 0.859, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.0777,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
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

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From your own software

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

OpenML APIs