OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14672 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14672 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9699, kappa: 0.9687, kb_relative_information_score: 7471.2413, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 4.7004, recall: 0.9699, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8666, kappa: 0.8607, kb_relative_information_score: 6017.9555, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8706, predictive_accuracy: 0.8661, prior_entropy: 4.7004, recall: 0.8661, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9506, kappa: 0.9486, kb_relative_information_score: 7377.3182, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9508, predictive_accuracy: 0.9506, prior_entropy: 4.7004, recall: 0.9506, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9722, kappa: 0.9711, kb_relative_information_score: 7483.826, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 4.7004, recall: 0.9722, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, kappa: 0.4665, kb_relative_information_score: 230.6427, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.487, prior_entropy: 4.7004, recall: 0.487, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9705, kappa: 0.9693, kb_relative_information_score: 7470.0919, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 4.7004, recall: 0.9705, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.2362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, kappa: 0.5481, kb_relative_information_score: 3447.8057, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.5655, prior_entropy: 4.7004, recall: 0.5655, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.8809, kappa: 0.876, kb_relative_information_score: 6897.8686, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8817, predictive_accuracy: 0.8807, prior_entropy: 4.7004, recall: 0.8807, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, kappa: 0.0106, kb_relative_information_score: 58.9462, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0485, prior_entropy: 4.7004, recall: 0.0485, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, kappa: 0.2747, kb_relative_information_score: 2283.0614, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.3026, prior_entropy: 4.7004, recall: 0.3026, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.85, kappa: 0.8485, kb_relative_information_score: 6053.1978, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8784, predictive_accuracy: 0.8543, prior_entropy: 4.7004, recall: 0.8543, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9308, kappa: 0.9282, kb_relative_information_score: 7246.993, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9309, predictive_accuracy: 0.931, prior_entropy: 4.7004, recall: 0.931, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, kappa: 0.4284, kb_relative_information_score: 1146.005, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.4504, prior_entropy: 4.7004, recall: 0.4504, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9386, kappa: 0.9361, kb_relative_information_score: 7078.5858, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9388, predictive_accuracy: 0.9386, prior_entropy: 4.7004, recall: 0.9386, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9732, kappa: 0.9721, kb_relative_information_score: 7478.9779, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9734, predictive_accuracy: 0.9732, prior_entropy: 4.7004, recall: 0.9732, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9186, kappa: 0.9153, kb_relative_information_score: 6896.2892, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9191, predictive_accuracy: 0.9186, prior_entropy: 4.7004, recall: 0.9186, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.4052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0705, kappa: 0.0002, kb_relative_information_score: 3.8124, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9074, kappa: 0.904, kb_relative_information_score: 7099.6473, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9079, predictive_accuracy: 0.9077, prior_entropy: 4.7004, recall: 0.9077, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8973, kappa: 0.8917, kb_relative_information_score: 6550.4978, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9052, predictive_accuracy: 0.8959, prior_entropy: 4.7004, recall: 0.8959, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 28.607, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, kappa: 0.4232, kb_relative_information_score: 2233.3806, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.4454, prior_entropy: 4.7004, recall: 0.4454, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9265, kappa: 0.9238, kb_relative_information_score: 7217.4848, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9267, predictive_accuracy: 0.9268, prior_entropy: 4.7004, recall: 0.9268, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.974, kappa: 0.9729, kb_relative_information_score: 7494.9275, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 4.7004, recall: 0.974, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9322, kappa: 0.9289, kb_relative_information_score: 7127.8717, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9363, predictive_accuracy: 0.9316, prior_entropy: 4.7004, recall: 0.9316, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.3585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, kappa: 0.7807, kb_relative_information_score: 6132.5358, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7891, prior_entropy: 4.7004, recall: 0.7891, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9475, kappa: 0.9425, kb_relative_information_score: 7360.8092, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9551, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9742, kappa: 0.9731, kb_relative_information_score: 7592.5616, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9746, predictive_accuracy: 0.9741, prior_entropy: 4.7004, recall: 0.9741, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9708, kappa: 0.9696, kb_relative_information_score: 7566.2496, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9712, predictive_accuracy: 0.9708, prior_entropy: 4.7004, recall: 0.9708, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.2466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, kappa: 0.0752, kb_relative_information_score: 780.4455, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1108, prior_entropy: 4.7004, recall: 0.1108, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2615, root_relative_squared_error: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8427, kappa: 0.8443, kb_relative_information_score: 6615.8263, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8688, predictive_accuracy: 0.8503, prior_entropy: 4.7004, recall: 0.8503, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, kappa: 0.7915, kb_relative_information_score: 6214.5037, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7995, prior_entropy: 4.7004, recall: 0.7995, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9133, kappa: 0.9097, kb_relative_information_score: 7111.8638, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9171, predictive_accuracy: 0.9132, prior_entropy: 4.7004, recall: 0.9132, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9667, kappa: 0.9651, kb_relative_information_score: 7531.8353, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.968, predictive_accuracy: 0.9664, prior_entropy: 4.7004, recall: 0.9664, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7706, kappa: 0.7836, kb_relative_information_score: 6154.8001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8294, predictive_accuracy: 0.792, prior_entropy: 4.7004, recall: 0.792, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, kappa: 0.3255, kb_relative_information_score: 2678.8232, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.3514, prior_entropy: 4.7004, recall: 0.3514, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2234, root_relative_squared_error: 1.1615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7973, kappa: 0.7131, kb_relative_information_score: 5620.0464, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9336, predictive_accuracy: 0.7241, prior_entropy: 4.7004, recall: 0.7241, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.6609, kappa: 0.5298, kb_relative_information_score: 4229.4166, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9284, predictive_accuracy: 0.5479, prior_entropy: 4.7004, recall: 0.5479, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.7746, kappa: 0.7875, kb_relative_information_score: 6184.1499, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8226, predictive_accuracy: 0.7957, prior_entropy: 4.7004, recall: 0.7957, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9678, kappa: 0.9664, kb_relative_information_score: 7541.9624, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 4.7004, recall: 0.9677, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.2593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9725, kappa: 0.9713, kb_relative_information_score: 7579.4046, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9728, predictive_accuracy: 0.9724, prior_entropy: 4.7004, recall: 0.9724, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, kappa: 0.1767, kb_relative_information_score: 1550.5186, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2084, prior_entropy: 4.7004, recall: 0.2084, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2468, root_relative_squared_error: 1.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9726, kappa: 0.9715, kb_relative_information_score: 7580.4166, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9729, predictive_accuracy: 0.9726, prior_entropy: 4.7004, recall: 0.9726, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.974, kappa: 0.9729, kb_relative_information_score: 7591.5507, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9743, predictive_accuracy: 0.974, prior_entropy: 4.7004, recall: 0.974, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: 0.0008, kb_relative_information_score: 215.7892, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0392, prior_entropy: 4.7004, recall: 0.0392, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9395, kappa: 0.9372, kb_relative_information_score: 7320.34, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9409, predictive_accuracy: 0.9396, prior_entropy: 4.7004, recall: 0.9396, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.3545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, kappa: 0.0532, kb_relative_information_score: 613.4768, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0896, prior_entropy: 4.7004, recall: 0.0896, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, kappa: 0.7768, kb_relative_information_score: 6103.19, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7854, prior_entropy: 4.7004, recall: 0.7854, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9731, kappa: 0.9719, kb_relative_information_score: 7583.4533, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9736, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, kappa: 0.0221, kb_relative_information_score: 377.6973, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0598, prior_entropy: 4.7004, recall: 0.0598, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2689, root_relative_squared_error: 1.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9742, kappa: 0.9731, kb_relative_information_score: 7592.5616, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9745, predictive_accuracy: 0.9741, prior_entropy: 4.7004, recall: 0.9741, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.5716, kappa: 0.4307, kb_relative_information_score: 3477.408, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9295, predictive_accuracy: 0.4526, prior_entropy: 4.7004, recall: 0.4526, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2052, root_relative_squared_error: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7784, kappa: 0.6857, kb_relative_information_score: 5412.5575, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.932, predictive_accuracy: 0.6978, prior_entropy: 4.7004, recall: 0.6978, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, kappa: 0.7419, kb_relative_information_score: 5838.0636, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7518, prior_entropy: 4.7004, recall: 0.7518, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.5523, kappa: 0.4114, kb_relative_information_score: 3330.6474, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9283, predictive_accuracy: 0.434, prior_entropy: 4.7004, recall: 0.434, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2087, root_relative_squared_error: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.969, kappa: 0.9677, kb_relative_information_score: 7552.0827, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9695, predictive_accuracy: 0.969, prior_entropy: 4.7004, recall: 0.969, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9306, kappa: 0.9278, kb_relative_information_score: 6585.1849, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.931, predictive_accuracy: 0.9306, prior_entropy: 4.7004, recall: 0.9306, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, kappa: 0.7902, kb_relative_information_score: 6204.3845, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7983, prior_entropy: 4.7004, recall: 0.7983, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, kappa: 0.0172, kb_relative_information_score: 340.256, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.055, prior_entropy: 4.7004, recall: 0.055, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2696, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, kappa: 0.0195, kb_relative_information_score: 357.4588, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0572, prior_entropy: 4.7004, recall: 0.0572, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2693, root_relative_squared_error: 1.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9532, kappa: 0.9496, kb_relative_information_score: 7414.4422, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9581, predictive_accuracy: 0.9515, prior_entropy: 4.7004, recall: 0.9515, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, kappa: 0.1357, kb_relative_information_score: 1238.8476, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1689, prior_entropy: 4.7004, recall: 0.1689, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2528, root_relative_squared_error: 1.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, kappa: 0.2261, kb_relative_information_score: 1924.9339, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2559, prior_entropy: 4.7004, recall: 0.2559, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9742, kappa: 0.9731, kb_relative_information_score: 7592.5616, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9746, predictive_accuracy: 0.9741, prior_entropy: 4.7004, recall: 0.9741, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, kappa: 0.0572, kb_relative_information_score: 643.8346, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0935, prior_entropy: 4.7004, recall: 0.0935, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2641, root_relative_squared_error: 1.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.5714, kappa: 0.4306, kb_relative_information_score: 3476.396, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9295, predictive_accuracy: 0.4525, prior_entropy: 4.7004, recall: 0.4525, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2052, root_relative_squared_error: 1.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, kappa: 0.0229, kb_relative_information_score: 383.7688, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0605, prior_entropy: 4.7004, recall: 0.0605, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2688, root_relative_squared_error: 1.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9457, kappa: 0.9436, kb_relative_information_score: 7368.9114, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9467, predictive_accuracy: 0.9457, prior_entropy: 4.7004, recall: 0.9457, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9679, kappa: 0.9663, kb_relative_information_score: 7540.9436, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.969, predictive_accuracy: 0.9676, prior_entropy: 4.7004, recall: 0.9676, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.05, root_relative_squared_error: 0.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9035, kappa: 0.8812, kb_relative_information_score: 6895.2695, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9391, predictive_accuracy: 0.8857, prior_entropy: 4.7004, recall: 0.8857, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.4875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9223, kappa: 0.9192, kb_relative_information_score: 5816.7218, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9238, predictive_accuracy: 0.9223, prior_entropy: 4.7004, recall: 0.9223, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.116, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7965, kappa: 0.803, kb_relative_information_score: 6301.6521, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8326, predictive_accuracy: 0.8106, prior_entropy: 4.7004, recall: 0.8106, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.6277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, kappa: 0.7579, kb_relative_information_score: 5959.4966, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7672, prior_entropy: 4.7004, recall: 0.7672, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, kappa: 0.0223, kb_relative_information_score: 378.7092, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0599, prior_entropy: 4.7004, recall: 0.0599, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2689, root_relative_squared_error: 1.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.2701, kappa: 0.1707, kb_relative_information_score: 1504.9889, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8958, predictive_accuracy: 0.2026, prior_entropy: 4.7004, recall: 0.2026, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2477, root_relative_squared_error: 1.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9743, kappa: 0.9732, kb_relative_information_score: 7593.5736, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 4.7004, recall: 0.9742, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.2316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.526, kappa: 0.3854, kb_relative_information_score: 3133.2935, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9264, predictive_accuracy: 0.409, prior_entropy: 4.7004, recall: 0.409, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2132, root_relative_squared_error: 1.1087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, kappa: 0.7794, kb_relative_information_score: 6122.4166, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7879, prior_entropy: 4.7004, recall: 0.7879, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, kappa: 0.7703, kb_relative_information_score: 6053.6057, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7791, prior_entropy: 4.7004, recall: 0.7791, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.6778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, kappa: 0.7792, kb_relative_information_score: 6121.4046, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7877, prior_entropy: 4.7004, recall: 0.7877, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9711, kappa: 0.9697, kb_relative_information_score: 7567.2576, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9718, predictive_accuracy: 0.9709, prior_entropy: 4.7004, recall: 0.9709, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, kappa: 0.0191, kb_relative_information_score: 354.423, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0568, prior_entropy: 4.7004, recall: 0.0568, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2694, root_relative_squared_error: 1.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8052, kappa: 0.8098, kb_relative_information_score: 6353.3408, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8356, predictive_accuracy: 0.8171, prior_entropy: 4.7004, recall: 0.8171, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.6168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9457, kappa: 0.94, kb_relative_information_score: 7341.5836, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9547, predictive_accuracy: 0.9423, prior_entropy: 4.7004, recall: 0.9423, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.4874, kappa: 0.3597, kb_relative_information_score: 2938.9724, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9008, predictive_accuracy: 0.3844, prior_entropy: 4.7004, recall: 0.3844, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9182, kappa: 0.9148, kb_relative_information_score: 7150.3219, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9217, predictive_accuracy: 0.918, prior_entropy: 4.7004, recall: 0.918, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, kappa: 0.7343, kb_relative_information_score: 5780.3829, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7445, prior_entropy: 4.7004, recall: 0.7445, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7541, kappa: 0.6512, kb_relative_information_score: 5150.4257, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9305, predictive_accuracy: 0.6646, prior_entropy: 4.7004, recall: 0.6646, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8783, kappa: 0.8745, kb_relative_information_score: 6844.6312, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8891, predictive_accuracy: 0.8793, prior_entropy: 4.7004, recall: 0.8793, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9524, kappa: 0.9486, kb_relative_information_score: 7407.3577, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9575, predictive_accuracy: 0.9506, prior_entropy: 4.7004, recall: 0.9506, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.7748, kappa: 0.7878, kb_relative_information_score: 6186.1738, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8322, predictive_accuracy: 0.7959, prior_entropy: 4.7004, recall: 0.7959, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, kappa: 0.447, kb_relative_information_score: 3600.6792, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.4683, prior_entropy: 4.7004, recall: 0.4683, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2022, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, kappa: 0.4056, kb_relative_information_score: 3286.9824, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.4285, prior_entropy: 4.7004, recall: 0.4285, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2097, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9619, kappa: 0.9603, kb_relative_information_score: 7495.4119, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9627, predictive_accuracy: 0.9618, prior_entropy: 4.7004, recall: 0.9618, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9704, kappa: 0.9692, kb_relative_information_score: 7563.2138, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9708, predictive_accuracy: 0.9704, prior_entropy: 4.7004, recall: 0.9704, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.2482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.4835, kappa: 0.3559, kb_relative_information_score: 2909.6216, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9002, predictive_accuracy: 0.3807, prior_entropy: 4.7004, recall: 0.3807, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2183, root_relative_squared_error: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.93, kappa: 0.9272, kb_relative_information_score: 7244.4348, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.932, predictive_accuracy: 0.93, prior_entropy: 4.7004, recall: 0.93, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, kappa: 0.2252, kb_relative_information_score: 1917.8505, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.255, prior_entropy: 4.7004, recall: 0.255, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2394, root_relative_squared_error: 1.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, kappa: 0.1146, kb_relative_information_score: 1078.9634, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1486, prior_entropy: 4.7004, recall: 0.1486, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2559, root_relative_squared_error: 1.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, kappa: 0.0571, kb_relative_information_score: 642.8217, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0934, prior_entropy: 4.7004, recall: 0.0934, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2641, root_relative_squared_error: 1.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9696, kappa: 0.9681, kb_relative_information_score: 7555.1106, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9705, predictive_accuracy: 0.9693, prior_entropy: 4.7004, recall: 0.9693, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.2525,

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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From your own software

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

OpenML APIs