Task
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, average_cost: 0.7109, f_measure: 0.3966, kappa: 0.0977, kb_relative_information_score: -14759.5254, mean_absolute_error: 0.6232, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3768, prior_entropy: 0.6457, recall: 0.3768, relative_absolute_error: 2.2643, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7894, root_relative_squared_error: 2.1282, total_cost: 5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, average_cost: 0.7539, f_measure: 0.2476, kappa: 0.0469, kb_relative_information_score: -18526.0127, mean_absolute_error: 0.7246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.2754, prior_entropy: 0.6457, recall: 0.2754, relative_absolute_error: 2.6329, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8513, root_relative_squared_error: 2.295, total_cost: 6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, average_cost: 6.2867, f_measure: 0.829, kappa: 0.3034, kb_relative_information_score: 1038.5164, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8542, total_cost: 52670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, average_cost: 6.9609, f_measure: 0.8096, kappa: 0.2145, kb_relative_information_score: 927.1389, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8402, predictive_accuracy: 0.8528, prior_entropy: 0.6457, recall: 0.8528, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8638, total_cost: 58318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, average_cost: 0.8479, f_measure: 0.6105, kappa: 0.2141, kb_relative_information_score: -11498.8596, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8623, predictive_accuracy: 0.5615, prior_entropy: 0.6457, recall: 0.5615, relative_absolute_error: 1.6836, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.3955, total_cost: 7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, average_cost: 6.1404, f_measure: 0.8272, kappa: 0.3027, kb_relative_information_score: 1190.7595, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8324, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8706, total_cost: 51444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, average_cost: 0.7669, f_measure: 0.5023, kappa: 0.1451, kb_relative_information_score: -13773.391, mean_absolute_error: 0.5133, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.4612, prior_entropy: 0.6457, recall: 0.4612, relative_absolute_error: 1.8652, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.564, root_relative_squared_error: 1.5204, total_cost: 6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, average_cost: 4.0308, f_measure: 0.8506, kappa: 0.4497, kb_relative_information_score: 2907.5155, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8488, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0347, total_cost: 33770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, average_cost: 0.7973, f_measure: 0.3677, kappa: 0.083, kb_relative_information_score: -15579.2903, mean_absolute_error: 0.6453, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8552, predictive_accuracy: 0.3547, prior_entropy: 0.6457, recall: 0.3547, relative_absolute_error: 2.3445, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8033, root_relative_squared_error: 2.1656, total_cost: 6680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, average_cost: 0.7717, f_measure: 0.4326, kappa: 0.1104, kb_relative_information_score: -14518.8005, mean_absolute_error: 0.5727, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8583, predictive_accuracy: 0.4038, prior_entropy: 0.6457, recall: 0.4038, relative_absolute_error: 2.081, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6765, root_relative_squared_error: 1.8239, total_cost: 6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, average_cost: 5.0609, f_measure: 0.8496, kappa: 0.4119, kb_relative_information_score: -20.5342, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8478, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8625, total_cost: 42400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, average_cost: 2.3723, f_measure: 0.7691, kappa: 0.335, kb_relative_information_score: -6214.5737, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.7391, prior_entropy: 0.6457, recall: 0.7391, relative_absolute_error: 1.2929, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.1441, total_cost: 19875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7178, f_measure: 0.3631, kappa: 0.0846, kb_relative_information_score: -15667.9135, mean_absolute_error: 0.6476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3524, prior_entropy: 0.6457, recall: 0.3524, relative_absolute_error: 2.3532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1696, total_cost: 6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, average_cost: 0.8119, f_measure: 0.1158, kappa: 0.0139, kb_relative_information_score: -21330.938, mean_absolute_error: 0.8002, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8578, predictive_accuracy: 0.1998, prior_entropy: 0.6457, recall: 0.1998, relative_absolute_error: 2.9074, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8945, root_relative_squared_error: 2.4116, total_cost: 6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7178, f_measure: 0.3631, kappa: 0.0846, kb_relative_information_score: -15667.9135, mean_absolute_error: 0.6476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3524, prior_entropy: 0.6457, recall: 0.3524, relative_absolute_error: 2.3532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8048, root_relative_squared_error: 2.1696, total_cost: 6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, average_cost: 0.7314, f_measure: 0.344, kappa: 0.0773, kb_relative_information_score: -16173.066, mean_absolute_error: 0.6613, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.3387, prior_entropy: 0.6457, recall: 0.3387, relative_absolute_error: 2.4026, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8132, root_relative_squared_error: 2.1923, total_cost: 6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, average_cost: 0.7226, f_measure: 0.3647, kappa: 0.085, kb_relative_information_score: -15628.0331, mean_absolute_error: 0.6466, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.3534, prior_entropy: 0.6457, recall: 0.3534, relative_absolute_error: 2.3493, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8041, root_relative_squared_error: 2.1678, total_cost: 6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, average_cost: 0.7132, f_measure: 0.3614, kappa: 0.0842, kb_relative_information_score: -15712.2252, mean_absolute_error: 0.6488, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3512, prior_entropy: 0.6457, recall: 0.3512, relative_absolute_error: 2.3575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8055, root_relative_squared_error: 2.1716, total_cost: 5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, average_cost: 0.7664, f_measure: 0.2174, kappa: 0.0385, kb_relative_information_score: -19208.4116, mean_absolute_error: 0.743, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8608, predictive_accuracy: 0.257, prior_entropy: 0.6457, recall: 0.257, relative_absolute_error: 2.6997, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.862, root_relative_squared_error: 2.3239, total_cost: 6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, average_cost: 0.7669, f_measure: 0.5023, kappa: 0.1451, kb_relative_information_score: -13773.391, mean_absolute_error: 0.5133, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.4612, prior_entropy: 0.6457, recall: 0.4612, relative_absolute_error: 1.8652, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.564, root_relative_squared_error: 1.5204, total_cost: 6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, average_cost: 0.8461, f_measure: 0.5259, kappa: 0.1553, kb_relative_information_score: -13214.4421, mean_absolute_error: 0.5348, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.4814, prior_entropy: 0.6457, recall: 0.4814, relative_absolute_error: 1.943, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6348, root_relative_squared_error: 1.7113, total_cost: 7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, average_cost: 1.3348, f_measure: 0.6168, kappa: 0.1985, kb_relative_information_score: -11332.4484, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.5659, prior_entropy: 0.6457, recall: 0.5659, relative_absolute_error: 1.6918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.529, root_relative_squared_error: 1.4261, total_cost: 11183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, average_cost: 0.8253, f_measure: 0.1351, kappa: 0.0173, kb_relative_information_score: -20958.7204, mean_absolute_error: 0.7902, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8508, predictive_accuracy: 0.2098, prior_entropy: 0.6457, recall: 0.2098, relative_absolute_error: 2.871, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8889, root_relative_squared_error: 2.3965, total_cost: 6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, average_cost: 0.7188, f_measure: 0.3618, kappa: 0.0841, kb_relative_information_score: -15703.3628, mean_absolute_error: 0.6486, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3514, prior_entropy: 0.6457, recall: 0.3514, relative_absolute_error: 2.3566, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1712, total_cost: 6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, average_cost: 0.7188, f_measure: 0.3618, kappa: 0.0841, kb_relative_information_score: -15703.3628, mean_absolute_error: 0.6486, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3514, prior_entropy: 0.6457, recall: 0.3514, relative_absolute_error: 2.3566, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1712, total_cost: 6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, average_cost: 0.7195, f_measure: 0.3608, kappa: 0.0837, kb_relative_information_score: -15729.9498, mean_absolute_error: 0.6493, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8621, predictive_accuracy: 0.3507, prior_entropy: 0.6457, recall: 0.3507, relative_absolute_error: 2.3592, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8058, root_relative_squared_error: 2.1724, total_cost: 6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, average_cost: 0.7188, f_measure: 0.3618, kappa: 0.0841, kb_relative_information_score: -15703.3628, mean_absolute_error: 0.6486, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3514, prior_entropy: 0.6457, recall: 0.3514, relative_absolute_error: 2.3566, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1712, total_cost: 6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, average_cost: 0.7199, f_measure: 0.3603, kappa: 0.0835, kb_relative_information_score: -15743.2433, mean_absolute_error: 0.6497, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8621, predictive_accuracy: 0.3503, prior_entropy: 0.6457, recall: 0.3503, relative_absolute_error: 2.3605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.806, root_relative_squared_error: 2.173, total_cost: 6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, average_cost: 0.7132, f_measure: 0.3614, kappa: 0.0842, kb_relative_information_score: -15712.2252, mean_absolute_error: 0.6488, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3512, prior_entropy: 0.6457, recall: 0.3512, relative_absolute_error: 2.3575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8055, root_relative_squared_error: 2.1716, total_cost: 5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, average_cost: 0.7209, f_measure: 0.3588, kappa: 0.083, kb_relative_information_score: -15783.1237, mean_absolute_error: 0.6508, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.3492, prior_entropy: 0.6457, recall: 0.3492, relative_absolute_error: 2.3644, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8067, root_relative_squared_error: 2.1748, total_cost: 6040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, average_cost: 0.7131, f_measure: 0.3615, kappa: 0.0843, kb_relative_information_score: -15707.794, mean_absolute_error: 0.6487, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3513, prior_entropy: 0.6457, recall: 0.3513, relative_absolute_error: 2.3571, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1714, total_cost: 5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, average_cost: 0.7128, f_measure: 0.3619, kappa: 0.0844, kb_relative_information_score: -15698.9317, mean_absolute_error: 0.6485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3515, prior_entropy: 0.6457, recall: 0.3515, relative_absolute_error: 2.3562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8053, root_relative_squared_error: 2.171, total_cost: 5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, average_cost: 0.7197, f_measure: 0.3605, kappa: 0.0836, kb_relative_information_score: -15738.8121, mean_absolute_error: 0.6496, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8621, predictive_accuracy: 0.3504, prior_entropy: 0.6457, recall: 0.3504, relative_absolute_error: 2.3601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.806, root_relative_squared_error: 2.1728, total_cost: 6030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, average_cost: 0.7128, f_measure: 0.3619, kappa: 0.0844, kb_relative_information_score: -15698.9317, mean_absolute_error: 0.6485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3515, prior_entropy: 0.6457, recall: 0.3515, relative_absolute_error: 2.3562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8053, root_relative_squared_error: 2.171, total_cost: 5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, average_cost: 0.7129, f_measure: 0.3617, kappa: 0.0843, kb_relative_information_score: -15703.3628, mean_absolute_error: 0.6486, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3514, prior_entropy: 0.6457, recall: 0.3514, relative_absolute_error: 2.3566, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8054, root_relative_squared_error: 2.1712, total_cost: 5973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7125, f_measure: 0.3624, kappa: 0.0846, kb_relative_information_score: -15685.6382, mean_absolute_error: 0.6481, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3519, prior_entropy: 0.6457, recall: 0.3519, relative_absolute_error: 2.3549, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1704, total_cost: 5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, average_cost: 0.7183, f_measure: 0.3625, kappa: 0.0844, kb_relative_information_score: -15685.6382, mean_absolute_error: 0.6481, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8622, predictive_accuracy: 0.3519, prior_entropy: 0.6457, recall: 0.3519, relative_absolute_error: 2.3549, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1704, total_cost: 6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, average_cost: 0.7128, f_measure: 0.3619, kappa: 0.0844, kb_relative_information_score: -15698.9317, mean_absolute_error: 0.6485, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3515, prior_entropy: 0.6457, recall: 0.3515, relative_absolute_error: 2.3562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8053, root_relative_squared_error: 2.171, total_cost: 5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 0.7125, f_measure: 0.3624, kappa: 0.0846, kb_relative_information_score: -15685.6382, mean_absolute_error: 0.6481, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.3519, prior_entropy: 0.6457, recall: 0.3519, relative_absolute_error: 2.3549, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8051, root_relative_squared_error: 2.1704, total_cost: 5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, average_cost: 0.8452, f_measure: 0.109, kappa: 0.0112, kb_relative_information_score: -21481.5974, mean_absolute_error: 0.8042, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8419, predictive_accuracy: 0.1958, prior_entropy: 0.6457, recall: 0.1958, relative_absolute_error: 2.9222, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8968, root_relative_squared_error: 2.4177, total_cost: 7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, average_cost: 0.7328, f_measure: 0.2988, kappa: 0.0625, kb_relative_information_score: -17307.4433, mean_absolute_error: 0.6918, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8621, predictive_accuracy: 0.3082, prior_entropy: 0.6457, recall: 0.3082, relative_absolute_error: 2.5136, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8318, root_relative_squared_error: 2.2424, total_cost: 6139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, average_cost: 0.9552, f_measure: 0.4467, kappa: 0.109, kb_relative_information_score: -12275.6984, mean_absolute_error: 0.5325, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8466, predictive_accuracy: 0.4132, prior_entropy: 0.6457, recall: 0.4132, relative_absolute_error: 1.9349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.8401, total_cost: 8003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21421.0626, mean_absolute_error: 0.7735, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 2.8106, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8306, root_relative_squared_error: 2.2393, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21236.5023, mean_absolute_error: 0.7661, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 2.7835, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8241, root_relative_squared_error: 2.2216, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21421.0626, mean_absolute_error: 0.7735, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 2.8106, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8306, root_relative_squared_error: 2.2393, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, average_cost: 0.7608, f_measure: 0.4535, kappa: 0.1204, kb_relative_information_score: -13137.7203, mean_absolute_error: 0.5795, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8595, predictive_accuracy: 0.4205, prior_entropy: 0.6457, recall: 0.4205, relative_absolute_error: 2.1055, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7612, root_relative_squared_error: 2.0523, total_cost: 6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, average_cost: 0.7593, f_measure: 0.403, kappa: 0.0983, kb_relative_information_score: -14600.0036, mean_absolute_error: 0.6189, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.3811, prior_entropy: 0.6457, recall: 0.3811, relative_absolute_error: 2.2486, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7867, root_relative_squared_error: 2.1209, total_cost: 6361,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, average_cost: 5.2264, f_measure: 0.8233, kappa: 0.3277, kb_relative_information_score: -1160.6189, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8173, predictive_accuracy: 0.8327, prior_entropy: 0.6457, recall: 0.8327, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.9549, total_cost: 43787,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, average_cost: 0.7529, f_measure: 0.2395, kappa: 0.0448, kb_relative_information_score: -18707.6903, mean_absolute_error: 0.7295, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8618, predictive_accuracy: 0.2705, prior_entropy: 0.6457, recall: 0.2705, relative_absolute_error: 2.6507, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8541, root_relative_squared_error: 2.3027, total_cost: 6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, average_cost: 0.7043, f_measure: 0.3974, kappa: 0.0983, kb_relative_information_score: -14732.9385, mean_absolute_error: 0.6225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3775, prior_entropy: 0.6457, recall: 0.3775, relative_absolute_error: 2.2617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.789, root_relative_squared_error: 2.127, total_cost: 5901,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 0.7106, f_measure: 0.397, kappa: 0.0979, kb_relative_information_score: -14746.2319, mean_absolute_error: 0.6228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.3772, prior_entropy: 0.6457, recall: 0.3772, relative_absolute_error: 2.263, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7892, root_relative_squared_error: 2.1276, total_cost: 5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7054, f_measure: 0.396, kappa: 0.0977, kb_relative_information_score: -14772.8189, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3765, prior_entropy: 0.6457, recall: 0.3765, relative_absolute_error: 2.2656, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7896, root_relative_squared_error: 2.1289, total_cost: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, average_cost: 0.7054, f_measure: 0.396, kappa: 0.0977, kb_relative_information_score: -14772.8189, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3765, prior_entropy: 0.6457, recall: 0.3765, relative_absolute_error: 2.2656, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7896, root_relative_squared_error: 2.1289, total_cost: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, average_cost: 0.7049, f_measure: 0.3966, kappa: 0.098, kb_relative_information_score: -14755.0943, mean_absolute_error: 0.6231, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3769, prior_entropy: 0.6457, recall: 0.3769, relative_absolute_error: 2.2638, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7893, root_relative_squared_error: 2.128, total_cost: 5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, average_cost: 4.0936, f_measure: 0.8326, kappa: 0.3985, kb_relative_information_score: 2096.613, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8346, predictive_accuracy: 0.8309, prior_entropy: 0.6457, recall: 0.8309, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.1087, total_cost: 34296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 0.7052, f_measure: 0.3963, kappa: 0.0978, kb_relative_information_score: -14763.9566, mean_absolute_error: 0.6233, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.863, predictive_accuracy: 0.3767, prior_entropy: 0.6457, recall: 0.3767, relative_absolute_error: 2.2647, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7895, root_relative_squared_error: 2.1284, total_cost: 5908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, average_cost: 4.1615, f_measure: 0.8385, kappa: 0.4116, kb_relative_information_score: 2397.932, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8381, predictive_accuracy: 0.839, prior_entropy: 0.6457, recall: 0.839, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.0818, total_cost: 34865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, average_cost: 0.7042, f_measure: 0.3976, kappa: 0.0984, kb_relative_information_score: -14728.5073, mean_absolute_error: 0.6223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3777, prior_entropy: 0.6457, recall: 0.3777, relative_absolute_error: 2.2612, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7889, root_relative_squared_error: 2.1268, total_cost: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, average_cost: 3.6894, f_measure: 0.8549, kappa: 0.4732, kb_relative_information_score: 2987.2764, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.855, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.381, root_relative_squared_error: 1.0271, total_cost: 30910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, average_cost: 4.8661, f_measure: 0.8532, kappa: 0.4297, kb_relative_information_score: -450.4052, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8508, predictive_accuracy: 0.8655, prior_entropy: 0.6457, recall: 0.8655, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.868, total_cost: 40768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, average_cost: 0.7042, f_measure: 0.3976, kappa: 0.0984, kb_relative_information_score: -14728.5073, mean_absolute_error: 0.6223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3777, prior_entropy: 0.6457, recall: 0.3777, relative_absolute_error: 2.2612, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7889, root_relative_squared_error: 2.1268, total_cost: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, average_cost: 0.7752, f_measure: 0.4994, kappa: 0.1432, kb_relative_information_score: -13861.7195, mean_absolute_error: 0.5161, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.86, predictive_accuracy: 0.4587, prior_entropy: 0.6457, recall: 0.4587, relative_absolute_error: 1.8751, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5678, root_relative_squared_error: 1.5306, total_cost: 6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, average_cost: 7.9768, f_measure: 0.7707, kappa: 0.0445, kb_relative_information_score: 2322.6022, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7988, predictive_accuracy: 0.837, prior_entropy: 0.6457, recall: 0.837, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0886, total_cost: 66830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, average_cost: 0.7042, f_measure: 0.3976, kappa: 0.0984, kb_relative_information_score: -14728.5073, mean_absolute_error: 0.6223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3777, prior_entropy: 0.6457, recall: 0.3777, relative_absolute_error: 2.2612, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7889, root_relative_squared_error: 2.1268, total_cost: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22633.6994, mean_absolute_error: 0.8353, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 3.0349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9139, root_relative_squared_error: 2.4639, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 0.7041, f_measure: 0.3977, kappa: 0.0985, kb_relative_information_score: -14724.0761, mean_absolute_error: 0.6222, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8631, predictive_accuracy: 0.3778, prior_entropy: 0.6457, recall: 0.3778, relative_absolute_error: 2.2608, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7888, root_relative_squared_error: 2.1266, total_cost: 5899,

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

OpenML APIs