OpenML
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: 0.856, average_cost: 5.452, f_measure: 0.8453, kappa: 0.3853, kb_relative_information_score: 1374.5921, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8476, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, average_cost: 1.0747, f_measure: 0.2277, kappa: 0.0286, kb_relative_information_score: -19146.3753, mean_absolute_error: 0.7413, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8116, predictive_accuracy: 0.2587, prior_entropy: 0.6457, recall: 0.2587, relative_absolute_error: 2.6936, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.861, root_relative_squared_error: 2.3213, total_cost: 9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.236, f_measure: 0.7603, kappa: -0.0002, kb_relative_information_score: 2256.1348, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8352, prior_entropy: 0.6457, recall: 0.8352, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.406, root_relative_squared_error: 1.0946, total_cost: 69001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, average_cost: 6.9363, f_measure: 0.807, kappa: 0.2063, kb_relative_information_score: 2739.1314, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.824, predictive_accuracy: 0.8482, prior_entropy: 0.6457, recall: 0.8482, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.0505, total_cost: 58112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, average_cost: 0.8013, f_measure: 0.1245, kappa: 0.016, kb_relative_information_score: -21153.6915, mean_absolute_error: 0.7954, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.861, predictive_accuracy: 0.2046, prior_entropy: 0.6457, recall: 0.2046, relative_absolute_error: 2.8901, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8919, root_relative_squared_error: 2.4044, total_cost: 6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, average_cost: 0.8094, f_measure: 0.1205, kappa: 0.0149, kb_relative_information_score: -21237.8836, mean_absolute_error: 0.7977, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8582, predictive_accuracy: 0.2023, prior_entropy: 0.6457, recall: 0.2023, relative_absolute_error: 2.8983, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8931, root_relative_squared_error: 2.4079, total_cost: 6781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, average_cost: 0.8133, f_measure: 0.1131, kappa: 0.0133, kb_relative_information_score: -21384.1119, mean_absolute_error: 0.8016, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8575, predictive_accuracy: 0.1984, prior_entropy: 0.6457, recall: 0.1984, relative_absolute_error: 2.9126, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8953, root_relative_squared_error: 2.4138, total_cost: 6814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, average_cost: 4.5926, f_measure: 0.8548, kappa: 0.4436, kb_relative_information_score: 3328.4759, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8514, predictive_accuracy: 0.864, prior_entropy: 0.6457, recall: 0.864, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.994, total_cost: 38477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, average_cost: 6.1333, f_measure: 0.8024, kappa: 0.2284, kb_relative_information_score: 1715.5331, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7928, predictive_accuracy: 0.8206, prior_entropy: 0.6457, recall: 0.8206, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.1419, total_cost: 51385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, average_cost: 5.1343, f_measure: 0.7881, kappa: 0.2439, kb_relative_information_score: 372.8911, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7921, predictive_accuracy: 0.7844, prior_entropy: 0.6457, recall: 0.7844, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.2517, total_cost: 43015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, average_cost: 6.2168, f_measure: 0.7918, kappa: 0.1955, kb_relative_information_score: -134.8142, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7814, predictive_accuracy: 0.8074, prior_entropy: 0.6457, recall: 0.8074, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.1167, total_cost: 52084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, average_cost: 4.6124, f_measure: 0.8341, kappa: 0.3825, kb_relative_information_score: -147.0481, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8384, prior_entropy: 0.6457, recall: 0.8384, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9224, total_cost: 38643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 2.0882, f_measure: 0.7821, kappa: 0.3689, kb_relative_information_score: -1088.1516, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8505, predictive_accuracy: 0.7541, prior_entropy: 0.6457, recall: 0.7541, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4686, root_relative_squared_error: 1.2633, total_cost: 17495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, average_cost: 5.5666, f_measure: 0.841, kappa: 0.3675, kb_relative_information_score: -29.8023, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8425, predictive_accuracy: 0.8609, prior_entropy: 0.6457, recall: 0.8609, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8629, total_cost: 46637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, average_cost: 0.8402, f_measure: 0.6297, kappa: 0.2306, kb_relative_information_score: -11339.4704, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8641, predictive_accuracy: 0.5809, prior_entropy: 0.6457, recall: 0.5809, relative_absolute_error: 1.6613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.506, root_relative_squared_error: 1.3641, total_cost: 7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, average_cost: 6.6405, f_measure: 0.82, kappa: 0.2608, kb_relative_information_score: 996.1678, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.8574, prior_entropy: 0.6457, recall: 0.8574, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8542, total_cost: 55634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, average_cost: 6.8293, f_measure: 0.8147, kappa: 0.2363, kb_relative_information_score: 985.3962, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.8557, prior_entropy: 0.6457, recall: 0.8557, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8558, total_cost: 57216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, average_cost: 5.1675, f_measure: 0.8426, kappa: 0.3865, kb_relative_information_score: 1633.7967, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8391, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8689, total_cost: 43293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, average_cost: 5.164, f_measure: 0.827, kappa: 0.3408, kb_relative_information_score: 189.8344, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8212, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9077, total_cost: 43264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, average_cost: 6.8595, f_measure: 0.8133, kappa: 0.2306, kb_relative_information_score: 1013.0126, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8546, total_cost: 57469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, average_cost: 7.3991, f_measure: 0.7947, kappa: 0.1481, kb_relative_information_score: 845.7985, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8373, predictive_accuracy: 0.8473, prior_entropy: 0.6457, recall: 0.8473, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.867, total_cost: 61990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, average_cost: 6.8957, f_measure: 0.8117, kappa: 0.224, kb_relative_information_score: 1009.7075, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8409, predictive_accuracy: 0.8537, prior_entropy: 0.6457, recall: 0.8537, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.855, total_cost: 57772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, average_cost: 6.8836, f_measure: 0.8123, kappa: 0.2262, kb_relative_information_score: 1010.8248, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8418, predictive_accuracy: 0.854, prior_entropy: 0.6457, recall: 0.854, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8549, total_cost: 57671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.6287, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.6287, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.6287, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.6287, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, average_cost: 5.3089, f_measure: 0.8447, kappa: 0.3881, kb_relative_information_score: 1460.5986, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8437, predictive_accuracy: 0.8613, prior_entropy: 0.6457, recall: 0.8613, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.8471, total_cost: 44478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, average_cost: 5.4803, f_measure: 0.841, kappa: 0.3707, kb_relative_information_score: 1316.0881, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8408, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8545, total_cost: 45914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, average_cost: 5.3196, f_measure: 0.8453, kappa: 0.3897, kb_relative_information_score: 1403.1046, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8449, predictive_accuracy: 0.8623, prior_entropy: 0.6457, recall: 0.8623, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.85, total_cost: 44568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.5199, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.3999, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, average_cost: 5.4221, f_measure: 0.8463, kappa: 0.3894, kb_relative_information_score: 1374.7706, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8486, predictive_accuracy: 0.8651, prior_entropy: 0.6457, recall: 0.8651, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.7372, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, average_cost: 5.4394, f_measure: 0.8462, kappa: 0.3887, kb_relative_information_score: 1370.5124, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.849, predictive_accuracy: 0.8654, prior_entropy: 0.6457, recall: 0.8654, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.8472, total_cost: 45571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, average_cost: 5.4402, f_measure: 0.8456, kappa: 0.3865, kb_relative_information_score: 1366.3906, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8477, predictive_accuracy: 0.8645, prior_entropy: 0.6457, recall: 0.8645, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.8478, total_cost: 45578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, average_cost: 5.428, f_measure: 0.8461, kappa: 0.3887, kb_relative_information_score: 1376.7034, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8484, predictive_accuracy: 0.865, prior_entropy: 0.6457, recall: 0.865, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.4402, f_measure: 0.8456, kappa: 0.3865, kb_relative_information_score: 1376.3491, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8477, predictive_accuracy: 0.8645, prior_entropy: 0.6457, recall: 0.8645, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8472, total_cost: 45578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.4642, f_measure: 0.8448, kappa: 0.3831, kb_relative_information_score: 1374.6601, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8469, predictive_accuracy: 0.8639, prior_entropy: 0.6457, recall: 0.8639, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8473, total_cost: 45779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, average_cost: 6.8954, f_measure: 0.8119, kappa: 0.2246, kb_relative_information_score: 1009.7356, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8418, predictive_accuracy: 0.8539, prior_entropy: 0.6457, recall: 0.8539, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.855, total_cost: 57770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, average_cost: 5.4163, f_measure: 0.8463, kappa: 0.3896, kb_relative_information_score: 1399.4389, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8484, predictive_accuracy: 0.865, prior_entropy: 0.6457, recall: 0.865, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.8464, total_cost: 45378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, average_cost: 5.4107, f_measure: 0.8461, kappa: 0.3894, kb_relative_information_score: 1392.2568, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8481, predictive_accuracy: 0.8648, prior_entropy: 0.6457, recall: 0.8648, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.8467, total_cost: 45331,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, average_cost: 5.404, f_measure: 0.8469, kappa: 0.392, kb_relative_information_score: 1376.6287, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8493, predictive_accuracy: 0.8656, prior_entropy: 0.6457, recall: 0.8656, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8474, total_cost: 45275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, average_cost: 5.4394, f_measure: 0.8462, kappa: 0.3887, kb_relative_information_score: 1375.4065, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.849, predictive_accuracy: 0.8654, prior_entropy: 0.6457, recall: 0.8654, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.8471, total_cost: 45571,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, average_cost: 5.9216, f_measure: 0.8372, kappa: 0.3429, kb_relative_information_score: 1190.4975, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8464, predictive_accuracy: 0.8627, prior_entropy: 0.6457, recall: 0.8627, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8521, total_cost: 49611,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, average_cost: 5.446, f_measure: 0.8455, kappa: 0.3861, kb_relative_information_score: 1366.2497, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8477, predictive_accuracy: 0.8645, prior_entropy: 0.6457, recall: 0.8645, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.8476, total_cost: 45627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, average_cost: 5.024, f_measure: 0.8467, kappa: 0.4043, kb_relative_information_score: 1555.4755, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8435, predictive_accuracy: 0.8596, prior_entropy: 0.6457, recall: 0.8596, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.8531, total_cost: 42091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, average_cost: 5.1237, f_measure: 0.8454, kappa: 0.3967, kb_relative_information_score: 1559.3092, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8425, predictive_accuracy: 0.8594, prior_entropy: 0.6457, recall: 0.8594, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.8511, total_cost: 42926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, average_cost: 5.3241, f_measure: 0.8464, kappa: 0.3931, kb_relative_information_score: 1427.2891, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8467, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.8477, total_cost: 44605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, average_cost: 5.2781, f_measure: 0.8463, kappa: 0.3943, kb_relative_information_score: 1452.3439, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8458, predictive_accuracy: 0.8629, prior_entropy: 0.6457, recall: 0.8629, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8492, total_cost: 44220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, average_cost: 5.1934, f_measure: 0.8449, kappa: 0.3929, kb_relative_information_score: 1477.3335, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8599, prior_entropy: 0.6457, recall: 0.8599, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8524, total_cost: 43510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, average_cost: 5.1404, f_measure: 0.8459, kappa: 0.3976, kb_relative_information_score: 1562.02, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8434, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.8489, total_cost: 43066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, average_cost: 5.1573, f_measure: 0.8461, kappa: 0.3979, kb_relative_information_score: 1548.4262, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8439, predictive_accuracy: 0.8608, prior_entropy: 0.6457, recall: 0.8608, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.8495, total_cost: 43208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, average_cost: 5.1624, f_measure: 0.8467, kappa: 0.3993, kb_relative_information_score: 1549.6021, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8447, predictive_accuracy: 0.8615, prior_entropy: 0.6457, recall: 0.8615, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.8494, total_cost: 43251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, average_cost: 5.2218, f_measure: 0.8453, kappa: 0.393, kb_relative_information_score: 1393.5992, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8434, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8574, total_cost: 43748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, average_cost: 5.1582, f_measure: 0.8455, kappa: 0.3958, kb_relative_information_score: 1446.6322, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.843, predictive_accuracy: 0.86, prior_entropy: 0.6457, recall: 0.86, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8556, total_cost: 43215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, average_cost: 5.1041, f_measure: 0.8472, kappa: 0.4032, kb_relative_information_score: 1529.9302, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8449, predictive_accuracy: 0.8614, prior_entropy: 0.6457, recall: 0.8614, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.8515, total_cost: 42762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, average_cost: 5.1527, f_measure: 0.8452, kappa: 0.3953, kb_relative_information_score: 1491.9652, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8596, prior_entropy: 0.6457, recall: 0.8596, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.8533, total_cost: 43169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, average_cost: 5.134, f_measure: 0.8463, kappa: 0.3993, kb_relative_information_score: 1479.7766, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8439, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.8538, total_cost: 43013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, average_cost: 5.1762, f_measure: 0.8449, kappa: 0.3933, kb_relative_information_score: 1463.2692, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8548, total_cost: 43366,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, average_cost: 5.1694, f_measure: 0.8457, kappa: 0.3961, kb_relative_information_score: 1542.5057, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8434, predictive_accuracy: 0.8605, prior_entropy: 0.6457, recall: 0.8605, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.8498, total_cost: 43309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, average_cost: 4.5148, f_measure: 0.8476, kappa: 0.4244, kb_relative_information_score: 2521.1416, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8436, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9159, total_cost: 37825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, average_cost: 4.5148, f_measure: 0.8476, kappa: 0.4244, kb_relative_information_score: 2521.1416, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8436, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9159, total_cost: 37825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, average_cost: 4.8238, f_measure: 0.8406, kappa: 0.393, kb_relative_information_score: 1961.9074, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8359, predictive_accuracy: 0.8492, prior_entropy: 0.6457, recall: 0.8492, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.344, root_relative_squared_error: 0.9275, total_cost: 40414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.2607, f_measure: 0.8417, kappa: 0.3807, kb_relative_information_score: 1176.0499, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8388, predictive_accuracy: 0.8569, prior_entropy: 0.6457, recall: 0.8569, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8628, total_cost: 44074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, average_cost: 5.389, f_measure: 0.8404, kappa: 0.372, kb_relative_information_score: 1224.8542, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8384, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8625, total_cost: 45149,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.3121, f_measure: 0.8421, kappa: 0.3798, kb_relative_information_score: 1208.1407, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8623, total_cost: 44505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, average_cost: 5.2601, f_measure: 0.8422, kappa: 0.3822, kb_relative_information_score: 1189.5212, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8395, predictive_accuracy: 0.8575, prior_entropy: 0.6457, recall: 0.8575, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624, total_cost: 44069,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, average_cost: 5.351, f_measure: 0.8432, kappa: 0.382, kb_relative_information_score: 1222.3366, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8421, predictive_accuracy: 0.8601, prior_entropy: 0.6457, recall: 0.8601, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8623, total_cost: 44831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.4111, f_measure: 0.8412, kappa: 0.3736, kb_relative_information_score: 1242.2583, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8399, predictive_accuracy: 0.8586, prior_entropy: 0.6457, recall: 0.8586, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.862, total_cost: 45334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.3993, f_measure: 0.8414, kappa: 0.3748, kb_relative_information_score: 1210.9583, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8401, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624, total_cost: 45235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, average_cost: 5.3399, f_measure: 0.8429, kappa: 0.3813, kb_relative_information_score: 1206.547, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8414, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 44738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, average_cost: 5.3683, f_measure: 0.8432, kappa: 0.3813, kb_relative_information_score: 1227.5103, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8603, prior_entropy: 0.6457, recall: 0.8603, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624, total_cost: 44976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, average_cost: 5.3331, f_measure: 0.8437, kappa: 0.3842, kb_relative_information_score: 1198.3875, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8605, prior_entropy: 0.6457, recall: 0.8605, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8627, total_cost: 44681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, average_cost: 5.3617, f_measure: 0.8439, kappa: 0.3839, kb_relative_information_score: 1231.3689, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8434, predictive_accuracy: 0.8612, prior_entropy: 0.6457, recall: 0.8612, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8626, total_cost: 44920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, average_cost: 5.3642, f_measure: 0.8419, kappa: 0.3774, kb_relative_information_score: 1192.6167, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8402, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8632, total_cost: 44941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, average_cost: 5.3148, f_measure: 0.8446, kappa: 0.3877, kb_relative_information_score: 1185.6249, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8437, predictive_accuracy: 0.8613, prior_entropy: 0.6457, recall: 0.8613, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8632, total_cost: 44527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, average_cost: 5.3823, f_measure: 0.8412, kappa: 0.3745, kb_relative_information_score: 1275.6359, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8394, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 45093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, average_cost: 5.3876, f_measure: 0.8416, kappa: 0.3756, kb_relative_information_score: 1255.6489, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8401, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8612, total_cost: 45137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, average_cost: 5.3654, f_measure: 0.8409, kappa: 0.3743, kb_relative_information_score: 1216.7006, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8388, predictive_accuracy: 0.8575, prior_entropy: 0.6457, recall: 0.8575, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8622, total_cost: 44951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, average_cost: 5.3088, f_measure: 0.8448, kappa: 0.3884, kb_relative_information_score: 1197.6847, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8439, predictive_accuracy: 0.8614, prior_entropy: 0.6457, recall: 0.8614, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8626, total_cost: 44477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, average_cost: 5.4068, f_measure: 0.84, kappa: 0.37, kb_relative_information_score: 1342.8534, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.838, predictive_accuracy: 0.857, prior_entropy: 0.6457, recall: 0.857, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.8575, total_cost: 45298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.2566, f_measure: 0.8, kappa: 0.1712, kb_relative_information_score: 900.8354, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 60796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.2566, f_measure: 0.8, kappa: 0.1712, kb_relative_information_score: 900.8354, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 60796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, average_cost: 7.2566, f_measure: 0.8, kappa: 0.1712, kb_relative_information_score: 900.8354, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8623, total_cost: 60796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 7.2801, f_measure: 0.7993, kappa: 0.168, kb_relative_information_score: 902.429, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8407, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8632, total_cost: 60993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 7.2801, f_measure: 0.7993, kappa: 0.168, kb_relative_information_score: 902.429, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8407, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8632, total_cost: 60993,

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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