Task
Supervised Classification on EMNIST_Balanced

Supervised Classification on EMNIST_Balanced

Task 168294 Supervised Classification EMNIST_Balanced 73 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8613, kappa: 0.8584, kb_relative_information_score: 119378.0329, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8622, predictive_accuracy: 0.8614, prior_entropy: 5.5546, recall: 0.8614, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.4441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8624, kappa: 0.86, kb_relative_information_score: 119515.7095, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 5.5546, recall: 0.863, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8889, kappa: 0.888, kb_relative_information_score: 122250.8, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8926, predictive_accuracy: 0.8904, prior_entropy: 5.5546, recall: 0.8904, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8957, kappa: 0.8946, kb_relative_information_score: 122853.7941, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8993, predictive_accuracy: 0.8968, prior_entropy: 5.5546, recall: 0.8968, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.886, kappa: 0.8851, kb_relative_information_score: 121967.4974, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8907, predictive_accuracy: 0.8876, prior_entropy: 5.5546, recall: 0.8876, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8874, kappa: 0.8858, kb_relative_information_score: 122105.7137, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8882, predictive_accuracy: 0.8882, prior_entropy: 5.5546, recall: 0.8882, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7467, kappa: 0.7431, kb_relative_information_score: 99933.468, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.7498, predictive_accuracy: 0.7486, prior_entropy: 5.5546, recall: 0.7486, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.6469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.5966, kappa: 0.5875, kb_relative_information_score: 78177.2481, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.5971, predictive_accuracy: 0.5963, prior_entropy: 5.5546, recall: 0.5963, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8709, kappa: 0.8692, kb_relative_information_score: 120214.7749, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8728, predictive_accuracy: 0.872, prior_entropy: 5.5546, recall: 0.872, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8706, kappa: 0.869, kb_relative_information_score: 120372.0706, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8733, predictive_accuracy: 0.8718, prior_entropy: 5.5546, recall: 0.8718, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.2434, kappa: 0.2634, kb_relative_information_score: 36415.2341, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.4231, predictive_accuracy: 0.279, prior_entropy: 5.5546, recall: 0.279, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1747, root_relative_squared_error: 1.2109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.5799, kappa: 0.5733, kb_relative_information_score: 82149.4981, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.5833, predictive_accuracy: 0.5824, prior_entropy: 5.5546, recall: 0.5824, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8528, kappa: 0.8505, kb_relative_information_score: 118499.9676, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8537, predictive_accuracy: 0.8537, prior_entropy: 5.5546, recall: 0.8537, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8871, kappa: 0.8855, kb_relative_information_score: 121982.4918, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.889, predictive_accuracy: 0.8879, prior_entropy: 5.5546, recall: 0.8879, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8856, kappa: 0.8842, kb_relative_information_score: 121747.502, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8886, predictive_accuracy: 0.8866, prior_entropy: 5.5546, recall: 0.8866, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8615, kappa: 0.8596, kb_relative_information_score: 119320.6641, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8621, predictive_accuracy: 0.8626, prior_entropy: 5.5546, recall: 0.8626, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8619, kappa: 0.8607, kb_relative_information_score: 119357.0595, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8648, predictive_accuracy: 0.8636, prior_entropy: 5.5546, recall: 0.8636, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9008, kappa: 0.8997, kb_relative_information_score: 123321.1913, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.9034, predictive_accuracy: 0.9018, prior_entropy: 5.5546, recall: 0.9018, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9031, kappa: 0.902, kb_relative_information_score: 123502.6697, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.9065, predictive_accuracy: 0.9041, prior_entropy: 5.5546, recall: 0.9041, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.3725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8993, kappa: 0.8985, kb_relative_information_score: 123280.4871, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.9042, predictive_accuracy: 0.9007, prior_entropy: 5.5546, recall: 0.9007, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8985, kappa: 0.8976, kb_relative_information_score: 123052.9488, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.9037, predictive_accuracy: 0.8997, prior_entropy: 5.5546, recall: 0.8997, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.055, root_relative_squared_error: 0.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8586, kappa: 0.8563, kb_relative_information_score: 119198.0361, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8597, predictive_accuracy: 0.8594, prior_entropy: 5.5546, recall: 0.8594, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.5079, kappa: 0.5038, kb_relative_information_score: 73669.1774, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.5073, predictive_accuracy: 0.5144, prior_entropy: 5.5546, recall: 0.5144, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.118, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.4089, kappa: 0.4217, kb_relative_information_score: 61387.9761, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.5789, predictive_accuracy: 0.434, prior_entropy: 5.5546, recall: 0.434, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8877, kappa: 0.8865, kb_relative_information_score: 121876.6753, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8904, predictive_accuracy: 0.8889, prior_entropy: 5.5546, recall: 0.8889, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8839, kappa: 0.8824, kb_relative_information_score: 121864.3274, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8857, predictive_accuracy: 0.8849, prior_entropy: 5.5546, recall: 0.8849, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.5614, kappa: 0.5587, kb_relative_information_score: 82338.8508, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.632, predictive_accuracy: 0.568, prior_entropy: 5.5546, recall: 0.568, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.7752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8777, kappa: 0.8759, kb_relative_information_score: 121141.2949, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8785, predictive_accuracy: 0.8786, prior_entropy: 5.5546, recall: 0.8786, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8787, kappa: 0.8777, kb_relative_information_score: 120976.0586, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8826, predictive_accuracy: 0.8803, prior_entropy: 5.5546, recall: 0.8803, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.06, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.6593, kappa: 0.6541, kb_relative_information_score: 98134.7212, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.6668, predictive_accuracy: 0.6615, prior_entropy: 5.5546, recall: 0.6615, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.6826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, kappa: 0.0187, kb_relative_information_score: 14203.0843, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, predictive_accuracy: 0.0396, prior_entropy: 5.5546, recall: 0.0396, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1459, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8826, kappa: 0.8809, kb_relative_information_score: 121463.3537, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.884, predictive_accuracy: 0.8834, prior_entropy: 5.5546, recall: 0.8834, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8761, kappa: 0.8744, kb_relative_information_score: 120963.9596, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.878, predictive_accuracy: 0.877, prior_entropy: 5.5546, recall: 0.877, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8828, kappa: 0.8816, kb_relative_information_score: 121549.1023, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8863, predictive_accuracy: 0.8841, prior_entropy: 5.5546, recall: 0.8841, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8713, kappa: 0.8704, kb_relative_information_score: 120481.5056, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8763, predictive_accuracy: 0.8732, prior_entropy: 5.5546, recall: 0.8732, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.4254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8758, kappa: 0.8759, kb_relative_information_score: 121063.5549, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8856, predictive_accuracy: 0.8786, prior_entropy: 5.5546, recall: 0.8786, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.4162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8738, kappa: 0.8723, kb_relative_information_score: 120857.9652, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.878, predictive_accuracy: 0.875, prior_entropy: 5.5546, recall: 0.875, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.8047, kappa: 0.8019, kb_relative_information_score: 113651.0224, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8064, predictive_accuracy: 0.8061, prior_entropy: 5.5546, recall: 0.8061, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 2080.5473, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, predictive_accuracy: 0.0213, prior_entropy: 5.5546, recall: 0.0213, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.2041, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8316, kappa: 0.8286, kb_relative_information_score: 116474.6347, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8333, predictive_accuracy: 0.8322, prior_entropy: 5.5546, recall: 0.8322, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.8197, kappa: 0.8169, kb_relative_information_score: 115198.7396, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8213, predictive_accuracy: 0.8208, prior_entropy: 5.5546, recall: 0.8208, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.8213, kappa: 0.8174, kb_relative_information_score: 114993.4457, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8233, predictive_accuracy: 0.8213, prior_entropy: 5.5546, recall: 0.8213, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.8113, kappa: 0.8083, kb_relative_information_score: 113472.8463, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8125, predictive_accuracy: 0.8124, prior_entropy: 5.5546, recall: 0.8124, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.075, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, kappa: 0.023, kb_relative_information_score: 14816.2255, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, predictive_accuracy: 0.0437, prior_entropy: 5.5546, recall: 0.0437, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1453, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.2758, kappa: 0.2813, kb_relative_information_score: 43959.7236, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.4978, predictive_accuracy: 0.2966, prior_entropy: 5.5546, recall: 0.2966, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.9436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8557, kappa: 0.853, kb_relative_information_score: 118128.6825, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.858, predictive_accuracy: 0.8562, prior_entropy: 5.5546, recall: 0.8562, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8286, kappa: 0.8258, kb_relative_information_score: 115695.9817, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8333, predictive_accuracy: 0.8295, prior_entropy: 5.5546, recall: 0.8295, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.7175, kappa: 0.707, kb_relative_information_score: 100015.9966, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.7463, predictive_accuracy: 0.7132, prior_entropy: 5.5546, recall: 0.7132, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.6264, kappa: 0.5932, kb_relative_information_score: 84042.0532, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.702, predictive_accuracy: 0.6019, prior_entropy: 5.5546, recall: 0.6019, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, kappa: 0.1936, kb_relative_information_score: 28676.4572, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, predictive_accuracy: 0.2108, prior_entropy: 5.5546, recall: 0.2108, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1621, root_relative_squared_error: 1.1231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, kappa: 0.1316, kb_relative_information_score: 22342.4438, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, predictive_accuracy: 0.1501, prior_entropy: 5.5546, recall: 0.1501, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.166, root_relative_squared_error: 1.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.816, kappa: 0.814, kb_relative_information_score: 114614.5057, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.819, predictive_accuracy: 0.8179, prior_entropy: 5.5546, recall: 0.8179, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.8049, kappa: 0.8037, kb_relative_information_score: 113080.0558, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8111, predictive_accuracy: 0.8079, prior_entropy: 5.5546, recall: 0.8079, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.5235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.7137, kappa: 0.7127, kb_relative_information_score: 99698.1489, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.7198, predictive_accuracy: 0.7188, prior_entropy: 5.5546, recall: 0.7188, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.093, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8067, kappa: 0.8051, kb_relative_information_score: 113038.1602, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8108, predictive_accuracy: 0.8092, prior_entropy: 5.5546, recall: 0.8092, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.78, kappa: 0.7776, kb_relative_information_score: 109623.0902, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.7831, predictive_accuracy: 0.7823, prior_entropy: 5.5546, recall: 0.7823, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.6288, kappa: 0.629, kb_relative_information_score: 87039.6656, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.6363, predictive_accuracy: 0.6368, prior_entropy: 5.5546, recall: 0.6368, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.7399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8588, kappa: 0.8565, kb_relative_information_score: 118942.9883, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8598, predictive_accuracy: 0.8596, prior_entropy: 5.5546, recall: 0.8596, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8511, kappa: 0.8482, kb_relative_information_score: 118550.3116, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8534, predictive_accuracy: 0.8515, prior_entropy: 5.5546, recall: 0.8515, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8231, kappa: 0.8203, kb_relative_information_score: 110465.4969, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8247, predictive_accuracy: 0.8241, prior_entropy: 5.5546, recall: 0.8241, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.5759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8122, kappa: 0.8095, kb_relative_information_score: 109438.1801, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8123, predictive_accuracy: 0.8135, prior_entropy: 5.5546, recall: 0.8135, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.085, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8332, kappa: 0.8311, kb_relative_information_score: 114350.4309, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8363, predictive_accuracy: 0.8347, prior_entropy: 5.5546, recall: 0.8347, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.076, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8186, kappa: 0.816, kb_relative_information_score: 113252.0335, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8213, predictive_accuracy: 0.8199, prior_entropy: 5.5546, recall: 0.8199, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8181, kappa: 0.8148, kb_relative_information_score: 114834.8728, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.82, predictive_accuracy: 0.8187, prior_entropy: 5.5546, recall: 0.8187, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.5114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8475, kappa: 0.8449, kb_relative_information_score: 118112.9063, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8483, predictive_accuracy: 0.8482, prior_entropy: 5.5546, recall: 0.8482, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8386, kappa: 0.8358, kb_relative_information_score: 117089.3, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8404, predictive_accuracy: 0.8393, prior_entropy: 5.5546, recall: 0.8393, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.069, root_relative_squared_error: 0.4779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8581, kappa: 0.8557, kb_relative_information_score: 118880.8248, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8604, predictive_accuracy: 0.8588, prior_entropy: 5.5546, recall: 0.8588, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8452, kappa: 0.842, kb_relative_information_score: 117909.897, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8462, predictive_accuracy: 0.8454, prior_entropy: 5.5546, recall: 0.8454, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.4679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.8306, kappa: 0.8287, kb_relative_information_score: 116347.1651, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8342, predictive_accuracy: 0.8323, prior_entropy: 5.5546, recall: 0.8323, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.4892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8232, kappa: 0.8202, kb_relative_information_score: 114124.5944, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8268, predictive_accuracy: 0.8241, prior_entropy: 5.5546, recall: 0.8241, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8285, kappa: 0.8257, kb_relative_information_score: 116196.0355, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8321, predictive_accuracy: 0.8294, prior_entropy: 5.5546, recall: 0.8294, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.071, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.8449, kappa: 0.8431, kb_relative_information_score: 117827.7865, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.8476, predictive_accuracy: 0.8464, prior_entropy: 5.5546, recall: 0.8464, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8276, kappa: 0.8262, kb_relative_information_score: 115932.1012, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0416, number_of_instances: 131600, precision: 0.831, predictive_accuracy: 0.8299, prior_entropy: 5.5546, recall: 0.8299, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.1443, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.4915,

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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Download this task directly in your environment and automatically upload your results

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

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