Task
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13167 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
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13167 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8757, kappa: 0.8619, kb_relative_information_score: 0.8694, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8758, number_of_instances: 70000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 3.3198, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5255, unweighted_recall: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8748, kappa: 0.861, kb_relative_information_score: 0.8685, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8749, number_of_instances: 70000, precision: 0.8748, predictive_accuracy: 0.8749, prior_entropy: 3.3198, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5273, unweighted_recall: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8749, kappa: 0.861, kb_relative_information_score: 0.8685, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8749, number_of_instances: 70000, precision: 0.8748, predictive_accuracy: 0.8749, prior_entropy: 3.3198, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5273, unweighted_recall: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8752, kappa: 0.8613, kb_relative_information_score: 0.8689, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8753, number_of_instances: 70000, precision: 0.8752, predictive_accuracy: 0.8753, prior_entropy: 3.3198, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5266, unweighted_recall: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8746, kappa: 0.8607, kb_relative_information_score: 0.8683, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8747, number_of_instances: 70000, precision: 0.8746, predictive_accuracy: 0.8747, prior_entropy: 3.3198, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5278, unweighted_recall: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8753, kappa: 0.8614, kb_relative_information_score: 0.8689, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8753, number_of_instances: 70000, precision: 0.8753, predictive_accuracy: 0.8753, prior_entropy: 3.3198, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5265, unweighted_recall: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8748, kappa: 0.8609, kb_relative_information_score: 0.8685, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8749, number_of_instances: 70000, precision: 0.8748, predictive_accuracy: 0.8749, prior_entropy: 3.3198, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5274, unweighted_recall: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8754, kappa: 0.8616, kb_relative_information_score: 0.8691, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8755, number_of_instances: 70000, precision: 0.8754, predictive_accuracy: 0.8755, prior_entropy: 3.3198, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5261, unweighted_recall: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8747, kappa: 0.8609, kb_relative_information_score: 0.8684, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8748, number_of_instances: 70000, precision: 0.8747, predictive_accuracy: 0.8748, prior_entropy: 3.3198, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5275, unweighted_recall: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8751, kappa: 0.8613, kb_relative_information_score: 0.8688, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8752, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 3.3198, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5267, unweighted_recall: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8752, kappa: 0.8614, kb_relative_information_score: 0.8689, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8753, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8753, prior_entropy: 3.3198, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5265, unweighted_recall: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8747, kappa: 0.8608, kb_relative_information_score: 0.8683, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8747, number_of_instances: 70000, precision: 0.8747, predictive_accuracy: 0.8747, prior_entropy: 3.3198, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5277, unweighted_recall: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8738, kappa: 0.8598, kb_relative_information_score: 0.8674, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8739, number_of_instances: 70000, precision: 0.8738, predictive_accuracy: 0.8739, prior_entropy: 3.3198, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5295, unweighted_recall: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8745, kappa: 0.8606, kb_relative_information_score: 0.8681, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8746, number_of_instances: 70000, precision: 0.8744, predictive_accuracy: 0.8746, prior_entropy: 3.3198, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5281, unweighted_recall: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8191, kappa: 0.7993, kb_relative_information_score: 0.8001, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8195, number_of_instances: 70000, precision: 0.8189, predictive_accuracy: 0.8195, prior_entropy: 3.3198, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5373, unweighted_recall: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8499, kappa: 0.8334, kb_relative_information_score: 0.8397, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8501, number_of_instances: 70000, precision: 0.8497, predictive_accuracy: 0.8501, prior_entropy: 3.3198, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.496, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8762, kappa: 0.8625, kb_relative_information_score: 0.8696, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8763, number_of_instances: 70000, precision: 0.8761, predictive_accuracy: 0.8763, prior_entropy: 3.3198, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4584, unweighted_recall: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9887, kappa: 0.9875, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9887, number_of_instances: 70000, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 3.3198, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1373, unweighted_recall: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9345, kappa: 0.9273, kb_relative_information_score: 0.9139, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9346, number_of_instances: 70000, precision: 0.9345, predictive_accuracy: 0.9346, prior_entropy: 3.3198, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.3374, unweighted_recall: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8755, kappa: 0.8617, kb_relative_information_score: 0.8692, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8756, number_of_instances: 70000, precision: 0.8755, predictive_accuracy: 0.8756, prior_entropy: 3.3198, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259, unweighted_recall: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9424, kappa: 0.9361, kb_relative_information_score: 0.9256, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9425, number_of_instances: 70000, precision: 0.9424, predictive_accuracy: 0.9425, prior_entropy: 3.3198, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.3158, unweighted_recall: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9393, kappa: 0.9326, kb_relative_information_score: 0.9203, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9394, number_of_instances: 70000, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 3.3198, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3249, unweighted_recall: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9407, kappa: 0.9342, kb_relative_information_score: 0.9254, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9408, number_of_instances: 70000, precision: 0.9407, predictive_accuracy: 0.9408, prior_entropy: 3.3198, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3188, unweighted_recall: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9379, kappa: 0.9311, kb_relative_information_score: 0.9186, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1799, weighted_recall: 0.938, number_of_instances: 70000, precision: 0.9379, predictive_accuracy: 0.938, prior_entropy: 3.3198, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.3286, unweighted_recall: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.935, kappa: 0.9279, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9351, number_of_instances: 70000, precision: 0.9351, predictive_accuracy: 0.9351, prior_entropy: 3.3198, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.3337, unweighted_recall: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9553, kappa: 0.9503, kb_relative_information_score: 0.9532, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9553, number_of_instances: 70000, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 3.3198, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2957, unweighted_recall: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9339, kappa: 0.9266, kb_relative_information_score: 0.8945, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1799, weighted_recall: 0.934, number_of_instances: 70000, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 3.3198, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.3472, unweighted_recall: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 0.9657, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9671, number_of_instances: 70000, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 3.3198, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.249, unweighted_recall: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9764, kappa: 0.9738, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 3.3198, recall: 0.9764, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9771, kappa: 0.9745, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 3.3198, recall: 0.9771, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.977, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3198, recall: 0.9785, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9215, kappa: 0.9129, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9218, predictive_accuracy: 0.9217, prior_entropy: 3.3198, recall: 0.9217, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9748, kappa: 0.972, kb_relative_information_score: 0.9735, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 3.3198, recall: 0.9748, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9809, kappa: 0.9788, kb_relative_information_score: 0.98, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 3.3198, recall: 0.9809, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.2058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9275, kappa: 0.9195, kb_relative_information_score: 0.9239, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9276, predictive_accuracy: 0.9276, prior_entropy: 3.3198, recall: 0.9276, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9357, kappa: 0.9287, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 3.3198, recall: 0.9359, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9664, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 3.3198, recall: 0.968, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9681, kappa: 0.9645, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9682, predictive_accuracy: 0.9681, prior_entropy: 3.3198, recall: 0.9681, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9748, kappa: 0.972, kb_relative_information_score: 0.9735, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 3.3198, recall: 0.9748, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9793, kappa: 0.977, kb_relative_information_score: 0.9782, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 3.3198, recall: 0.9793, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9562, kappa: 0.9514, kb_relative_information_score: 0.9398, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 3.3198, recall: 0.9563, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9791, kappa: 0.9768, kb_relative_information_score: 0.9769, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 3.3198, recall: 0.9791, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9815, kappa: 0.9795, kb_relative_information_score: 0.9812, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 3.3198, recall: 0.9815, relative_absolute_error: 0.0247, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0582, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0993, prior_entropy: 3.3198, recall: 0.0993, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 0.9621, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 3.3198, recall: 0.9722, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9795, kb_relative_information_score: 0.9818, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3198, recall: 0.9816, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0599, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1019, prior_entropy: 3.3198, recall: 0.1019, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4238, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9649, kappa: 0.9609, kb_relative_information_score: 0.9648, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 3.3198, recall: 0.9649, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.861, kappa: 0.846, kb_relative_information_score: 0.7353, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8618, predictive_accuracy: 0.8614, prior_entropy: 3.3198, recall: 0.8614, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8062, kappa: 0.7869, kb_relative_information_score: 0.5396, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8115, predictive_accuracy: 0.8084, prior_entropy: 3.3198, recall: 0.8084, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 3.3198, recall: 0.9833, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.116, kappa: 0.0274, kb_relative_information_score: 0.0848, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.1267, predictive_accuracy: 0.1253, prior_entropy: 3.3198, recall: 0.1253, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9016, kappa: 0.8908, kb_relative_information_score: 0.8434, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9018, predictive_accuracy: 0.9018, prior_entropy: 3.3198, recall: 0.9018, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9312, kappa: 0.9236, kb_relative_information_score: 0.8933, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 3.3198, recall: 0.9313, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0586, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0999, prior_entropy: 3.3198, recall: 0.0999, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.983, kappa: 0.9811, kb_relative_information_score: 0.9833, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 3.3198, recall: 0.983, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.061, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1035, prior_entropy: 3.3198, recall: 0.1035, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9422, kappa: 0.9358, kb_relative_information_score: 0.9108, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9423, predictive_accuracy: 0.9423, prior_entropy: 3.3198, recall: 0.9423, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0583, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0995, prior_entropy: 3.3198, recall: 0.0995, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9793, kappa: 0.977, kb_relative_information_score: 0.9773, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 3.3198, recall: 0.9793, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0585, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0998, prior_entropy: 3.3198, recall: 0.0998, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9813, kappa: 0.9792, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 3.3198, recall: 0.9813, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 3.3198, recall: 0.9828, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9657, kappa: 0.9619, kb_relative_information_score: 0.9584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 3.3198, recall: 0.9657, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0573, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0979, prior_entropy: 3.3198, recall: 0.0979, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9827, kappa: 0.9808, kb_relative_information_score: 0.983, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9828, predictive_accuracy: 0.9827, prior_entropy: 3.3198, recall: 0.9827, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9697, kappa: 0.9663, kb_relative_information_score: 0.9691, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 3.3198, recall: 0.9697, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9826, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3198, recall: 0.9824, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9733, kappa: 0.9703, kb_relative_information_score: 0.9656, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 3.3198, recall: 0.9733, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9517, kappa: 0.9463, kb_relative_information_score: 0.936, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 3.3198, recall: 0.9517, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9551, kappa: 0.9501, kb_relative_information_score: 0.9552, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 3.3198, recall: 0.9551, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 3.3198, recall: 0.9795, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 3.3198, recall: 0.9795, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0576, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0984, prior_entropy: 3.3198, recall: 0.0984, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8194, kappa: 0.7993, kb_relative_information_score: 0.8105, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8194, predictive_accuracy: 0.8195, prior_entropy: 3.3198, recall: 0.8195, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9574, kappa: 0.9526, kb_relative_information_score: 0.9579, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 3.3198, recall: 0.9573, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9836, kappa: 0.9818, kb_relative_information_score: 0.9838, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 3.3198, recall: 0.9836, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.976, kappa: 0.9734, kb_relative_information_score: 0.9704, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 3.3198, recall: 0.976, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9797, kappa: 0.9775, kb_relative_information_score: 0.979, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 3.3198, recall: 0.9797, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9806, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 3.3198, recall: 0.9825, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.939, kappa: 0.9322, kb_relative_information_score: 0.9269, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.939, predictive_accuracy: 0.939, prior_entropy: 3.3198, recall: 0.939, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.926, kappa: 0.9179, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 3.3198, recall: 0.9261, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9808, kappa: 0.9786, kb_relative_information_score: 0.9811, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 3.3198, recall: 0.9808, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9247, kappa: 0.9163, kb_relative_information_score: 0.916, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9247, predictive_accuracy: 0.9247, prior_entropy: 3.3198, recall: 0.9247, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 3.3198, recall: 0.9611, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9456, kappa: 0.9396, kb_relative_information_score: 0.9228, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 3.3198, recall: 0.9456, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9757, kappa: 0.973, kb_relative_information_score: 0.9711, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9757, predictive_accuracy: 0.9757, prior_entropy: 3.3198, recall: 0.9757, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, kappa: 0.0217, kb_relative_information_score: 0.0792, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.12, prior_entropy: 3.3198, recall: 0.12, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 3.3198, recall: 0.979, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9689, kappa: 0.9654, kb_relative_information_score: 0.9583, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 3.3198, recall: 0.9689, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3198, recall: 0.9712, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9453, kappa: 0.9392, kb_relative_information_score: 0.9446, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 3.3198, recall: 0.9453, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.3288,

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

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

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