OpenML
Supervised Data Stream Classification on AirlinesCodrnaAdult

Supervised Data Stream Classification on AirlinesCodrnaAdult

Task 7317 Supervised Data Stream Classification AirlinesCodrnaAdult 253 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7931, kappa: 0.5879, kb_relative_information_score: 554913.6361, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8062, predictive_accuracy: 0.7926, prior_entropy: 1, recall: 0.7926, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7931, kappa: 0.5879, kb_relative_information_score: 554913.6361, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8062, predictive_accuracy: 0.7926, prior_entropy: 1, recall: 0.7926, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7931, kappa: 0.5879, kb_relative_information_score: 554913.6361, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8062, predictive_accuracy: 0.7926, prior_entropy: 1, recall: 0.7926, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7936, kappa: 0.5889, kb_relative_information_score: 555640.9798, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8067, predictive_accuracy: 0.793, prior_entropy: 1, recall: 0.793, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7931, kappa: 0.5879, kb_relative_information_score: 554913.6965, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8062, predictive_accuracy: 0.7926, prior_entropy: 1, recall: 0.7926, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7929, kappa: 0.5874, kb_relative_information_score: 555594.9726, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8058, predictive_accuracy: 0.7923, prior_entropy: 1, recall: 0.7923, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 459071.2976, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.6539, kappa: 0.2952, kb_relative_information_score: 293159.0265, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6562, predictive_accuracy: 0.659, prior_entropy: 1, recall: 0.659, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7916, kappa: 0.5862, kb_relative_information_score: 554313.2325, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8076, predictive_accuracy: 0.7911, prior_entropy: 1, recall: 0.7911, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.4097, kappa: -0.0425, kb_relative_information_score: 75998, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.4168, predictive_accuracy: 0.5353, prior_entropy: 1, recall: 0.5353, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6817, root_relative_squared_error: 1.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.78, kappa: 0.5544, kb_relative_information_score: 567450.2574, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7806, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.704, kappa: 0.3972, kb_relative_information_score: 366756.9244, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7053, predictive_accuracy: 0.7068, prior_entropy: 1, recall: 0.7068, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5715, kappa: 0.1305, kb_relative_information_score: 154043.6754, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5715, predictive_accuracy: 0.5715, prior_entropy: 1, recall: 0.5715, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6546, root_relative_squared_error: 1.3092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7734, kappa: 0.5395, kb_relative_information_score: 468501.9016, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7733, predictive_accuracy: 0.7739, prior_entropy: 1, recall: 0.7739, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7842, kappa: 0.5621, kb_relative_information_score: 566370.8538, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2688, kb_relative_information_score: -129486, mean_absolute_error: 0.5601, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.1935, predictive_accuracy: 0.4399, prior_entropy: 1, recall: 0.4399, relative_absolute_error: 1.1203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7484, root_relative_squared_error: 1.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7948, kappa: 0.5842, kb_relative_information_score: 632533.4377, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7953, predictive_accuracy: 0.7945, prior_entropy: 1, recall: 0.7945, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.5714, kappa: 0.1302, kb_relative_information_score: 153871.6656, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5714, predictive_accuracy: 0.5713, prior_entropy: 1, recall: 0.5713, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5714, kappa: 0.1301, kb_relative_information_score: 153663.2845, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5714, predictive_accuracy: 0.5714, prior_entropy: 1, recall: 0.5714, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.654, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.6268, kappa: 0.244, kb_relative_information_score: 299882.844, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.637, predictive_accuracy: 0.6392, prior_entropy: 1, recall: 0.6392, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6004, root_relative_squared_error: 1.2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.785, kappa: 0.5649, kb_relative_information_score: 512586.1907, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.786, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.784, kappa: 0.5643, kb_relative_information_score: 522985.5984, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7869, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.6917, kappa: 0.3884, kb_relative_information_score: 268874.4249, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7067, predictive_accuracy: 0.6911, prior_entropy: 1, recall: 0.6911, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.44, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6464, kappa: 0.2827, kb_relative_information_score: 314862.4802, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6466, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5948, root_relative_squared_error: 1.1896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7688, kappa: 0.5326, kb_relative_information_score: 499741.7158, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7703, predictive_accuracy: 0.7683, prior_entropy: 1, recall: 0.7683, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.41, kappa: -0.0433, kb_relative_information_score: 74852, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.4174, predictive_accuracy: 0.5348, prior_entropy: 1, recall: 0.5348, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.6541, kappa: 0.2956, kb_relative_information_score: 293623.1733, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6563, predictive_accuracy: 0.6591, prior_entropy: 1, recall: 0.6591, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5226, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.3481, kappa: 0.0256, kb_relative_information_score: -74839.6967, mean_absolute_error: 0.5312, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5685, predictive_accuracy: 0.4622, prior_entropy: 1, recall: 0.4622, relative_absolute_error: 1.0623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6129, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2688, kb_relative_information_score: -129486, mean_absolute_error: 0.5601, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.1935, predictive_accuracy: 0.4399, prior_entropy: 1, recall: 0.4399, relative_absolute_error: 1.1203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7484, root_relative_squared_error: 1.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7753, kappa: 0.5457, kb_relative_information_score: 456864.2243, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7769, predictive_accuracy: 0.7747, prior_entropy: 1, recall: 0.7747, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.2745, kappa: -0.0025, kb_relative_information_score: -131130, mean_absolute_error: 0.5609, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.4543, predictive_accuracy: 0.4394, prior_entropy: 1, recall: 0.4394, relative_absolute_error: 1.1218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7488, root_relative_squared_error: 1.4975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.2688, kb_relative_information_score: -130068, mean_absolute_error: 0.5604, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.1935, predictive_accuracy: 0.4399, prior_entropy: 1, recall: 0.4399, relative_absolute_error: 1.1208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7484, root_relative_squared_error: 1.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4313, f_measure: 0.4366, kappa: -0.0723, kb_relative_information_score: -111700.8416, mean_absolute_error: 0.5506, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.4653, predictive_accuracy: 0.4457, prior_entropy: 1, recall: 0.4457, relative_absolute_error: 1.1012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6927, root_relative_squared_error: 1.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.2851, kappa: -0.0022, kb_relative_information_score: -128040, mean_absolute_error: 0.5595, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.4881, predictive_accuracy: 0.4408, prior_entropy: 1, recall: 0.4408, relative_absolute_error: 1.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7478, root_relative_squared_error: 1.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.2688, kb_relative_information_score: -86022.8595, mean_absolute_error: 0.5351, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.1935, predictive_accuracy: 0.4399, prior_entropy: 1, recall: 0.4399, relative_absolute_error: 1.0703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.2688, kb_relative_information_score: -86022.8595, mean_absolute_error: 0.5351, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.1935, predictive_accuracy: 0.4399, prior_entropy: 1, recall: 0.4399, relative_absolute_error: 1.0703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.5714, kappa: 0.1301, kb_relative_information_score: 153680, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5714, predictive_accuracy: 0.5714, prior_entropy: 1, recall: 0.5714, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.5499, kappa: 0.1535, kb_relative_information_score: 31108.947, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6, predictive_accuracy: 0.5601, prior_entropy: 1, recall: 0.5601, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.5714, kappa: 0.1301, kb_relative_information_score: 153680, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5714, predictive_accuracy: 0.5714, prior_entropy: 1, recall: 0.5714, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7236, kappa: 0.4483, kb_relative_information_score: 372992.4907, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.734, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7865, kappa: 0.5705, kb_relative_information_score: 566154.3268, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7912, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7743, kappa: 0.5416, kb_relative_information_score: 447165.0591, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7742, predictive_accuracy: 0.7747, prior_entropy: 1, recall: 0.7747, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.393, root_relative_squared_error: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2688, kb_relative_information_score: -129486, mean_absolute_error: 0.5601, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.1935, predictive_accuracy: 0.4399, prior_entropy: 1, recall: 0.4399, relative_absolute_error: 1.1203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7484, root_relative_squared_error: 1.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7891, kappa: 0.5798, kb_relative_information_score: 560679.8844, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.802, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6894, kappa: 0.3739, kb_relative_information_score: 299433.8982, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6927, predictive_accuracy: 0.6884, prior_entropy: 1, recall: 0.6884, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7865, kappa: 0.5677, kb_relative_information_score: 409453.9618, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7872, predictive_accuracy: 0.7861, prior_entropy: 1, recall: 0.7861, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.384, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7882, kappa: 0.5734, kb_relative_information_score: 563997.1763, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7921, predictive_accuracy: 0.7875, prior_entropy: 1, recall: 0.7875, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8009, kappa: 0.5985, kb_relative_information_score: 562369.8597, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8041, predictive_accuracy: 0.8003, prior_entropy: 1, recall: 0.8003, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.793, kappa: 0.5876, kb_relative_information_score: 555827.3845, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.806, predictive_accuracy: 0.7924, prior_entropy: 1, recall: 0.7924, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.776, kappa: 0.5479, kb_relative_information_score: 457041.4448, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7785, predictive_accuracy: 0.7753, prior_entropy: 1, recall: 0.7753, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7891, kappa: 0.5798, kb_relative_information_score: 560679.8844, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.802, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.5716, kappa: 0.1306, kb_relative_information_score: 154184, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5716, predictive_accuracy: 0.5716, prior_entropy: 1, recall: 0.5716, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6545, root_relative_squared_error: 1.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6539, kappa: 0.2952, kb_relative_information_score: 293056.3343, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6561, predictive_accuracy: 0.6589, prior_entropy: 1, recall: 0.6589, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0488,

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

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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