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 - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9205, kappa: 0.9173, kb_relative_information_score: 6735.448, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.921, predictive_accuracy: 0.9205, prior_entropy: 4.7004, recall: 0.9205, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 7488.3442, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.973, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 28.2564, 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: 0.4999, kb_relative_information_score: 21.8214, 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: 0.9987, f_measure: 0.9497, kappa: 0.9477, kb_relative_information_score: 7033.3492, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 4.7004, recall: 0.9497, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9738, kappa: 0.9728, kb_relative_information_score: 7498.7124, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 4.7004, recall: 0.9738, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.043, root_relative_squared_error: 0.2234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6685, kappa: 0.5389, kb_relative_information_score: 4298.2423, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9286, predictive_accuracy: 0.5566, prior_entropy: 4.7004, recall: 0.5566, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9719, kappa: 0.9708, kb_relative_information_score: 7484.6606, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 4.7004, recall: 0.9719, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.2299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8933, kappa: 0.8889, kb_relative_information_score: 6873.3376, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8941, predictive_accuracy: 0.8932, prior_entropy: 4.7004, recall: 0.8932, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, kappa: 0.7504, kb_relative_information_score: 5902.8268, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.76, prior_entropy: 4.7004, recall: 0.76, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.4749, kappa: 0.4815, kb_relative_information_score: 3598.8917, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6775, predictive_accuracy: 0.5015, prior_entropy: 4.7004, recall: 0.5015, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.971, kappa: 0.9699, kb_relative_information_score: 7472.2884, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 4.7004, recall: 0.971, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, kappa: 0.191, kb_relative_information_score: 397.6732, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2221, prior_entropy: 4.7004, recall: 0.2221, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.191, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.6662, kappa: 0.7013, kb_relative_information_score: 5846.0335, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8074, predictive_accuracy: 0.7128, prior_entropy: 4.7004, recall: 0.7128, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8936, kappa: 0.8885, kb_relative_information_score: 6307.7708, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9045, predictive_accuracy: 0.8928, prior_entropy: 4.7004, recall: 0.8928, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4358, kappa: -0.0011, kb_relative_information_score: 0.207, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0375, prior_entropy: 4.7004, recall: 0.0375, 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: 0.9858, f_measure: 0.7992, kappa: 0.7879, kb_relative_information_score: 4536.3905, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.812, predictive_accuracy: 0.7961, prior_entropy: 4.7004, recall: 0.7961, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9173, kappa: 0.914, kb_relative_information_score: 6804.899, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9181, predictive_accuracy: 0.9173, prior_entropy: 4.7004, recall: 0.9173, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.4233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.908, kappa: 0.9046, kb_relative_information_score: 7062.503, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9084, predictive_accuracy: 0.9083, prior_entropy: 4.7004, recall: 0.9083, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, kappa: -0.0015, kb_relative_information_score: 57.5669, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0368, prior_entropy: 4.7004, recall: 0.0368, relative_absolute_error: 0.9993, 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: 0.9368, kappa: 0.4727, kb_relative_information_score: 2900.5765, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.493, prior_entropy: 4.7004, recall: 0.493, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 66.5476, 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, 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: 0.5037, kappa: 0.0073, kb_relative_information_score: 265.3736, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0455, prior_entropy: 4.7004, recall: 0.0455, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.271, root_relative_squared_error: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, kappa: 0.7806, kb_relative_information_score: 6131.5239, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.789, prior_entropy: 4.7004, recall: 0.789, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9628, kappa: 0.9612, kb_relative_information_score: 7502.4954, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9635, predictive_accuracy: 0.9627, prior_entropy: 4.7004, recall: 0.9627, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.2786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9214, kappa: 0.9184, kb_relative_information_score: 6926.9845, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.7004, recall: 0.9215, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4204, kappa: -0.0008, kb_relative_information_score: 0.2508, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0377, prior_entropy: 4.7004, recall: 0.0377, 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: 0.9996, f_measure: 0.9752, kappa: 0.9743, kb_relative_information_score: 7509.2025, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.7004, recall: 0.9752, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.042, root_relative_squared_error: 0.2182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9736, kappa: 0.9725, kb_relative_information_score: 7488.8759, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 4.7004, recall: 0.9736, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8799, kappa: 0.8761, kb_relative_information_score: 6650.0496, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8877, predictive_accuracy: 0.8809, prior_entropy: 4.7004, recall: 0.8809, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9377, kappa: 0.9353, kb_relative_information_score: 22.8069, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9394, predictive_accuracy: 0.9378, prior_entropy: 4.7004, recall: 0.9378, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9741, kappa: 0.9729, kb_relative_information_score: 7591.5497, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9744, 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: 0.882, kappa: 0.764, kb_relative_information_score: 6006.0452, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7731, prior_entropy: 4.7004, recall: 0.7731, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, kappa: 0.052, kb_relative_information_score: 604.3685, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0885, prior_entropy: 4.7004, recall: 0.0885, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2648, root_relative_squared_error: 1.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9161, kappa: 0.9126, kb_relative_information_score: 7220.0336, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9168, predictive_accuracy: 0.916, prior_entropy: 4.7004, recall: 0.916, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, kappa: 0.7772, kb_relative_information_score: 6106.2258, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7858, prior_entropy: 4.7004, recall: 0.7858, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, kappa: 0.1331, kb_relative_information_score: 894.6332, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1665, prior_entropy: 4.7004, recall: 0.1665, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9314, kappa: 0.9286, kb_relative_information_score: 6983.321, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9316, predictive_accuracy: 0.9314, prior_entropy: 4.7004, recall: 0.9314, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.074, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 0.1769, 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, 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: 0.9963, f_measure: 0.8959, kappa: 0.8917, kb_relative_information_score: 6732.8779, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.897, predictive_accuracy: 0.8959, prior_entropy: 4.7004, recall: 0.8959, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9427, kappa: 0.9405, kb_relative_information_score: 6918.1345, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.943, predictive_accuracy: 0.9428, prior_entropy: 4.7004, recall: 0.9428, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9674, kappa: 0.966, kb_relative_information_score: 7461.1246, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 4.7004, recall: 0.9673, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.047, root_relative_squared_error: 0.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9723, kappa: 0.9712, kb_relative_information_score: 7488.8844, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 4.7004, recall: 0.9723, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.5335, kappa: 0.5212, kb_relative_information_score: 3402.8977, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5988, predictive_accuracy: 0.5396, prior_entropy: 4.7004, recall: 0.5396, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9701, kappa: 0.9689, kb_relative_information_score: 7475.8751, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 4.7004, recall: 0.9701, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.045, root_relative_squared_error: 0.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.4039, kappa: 0.4475, kb_relative_information_score: 8.6929, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.4785, predictive_accuracy: 0.4688, prior_entropy: 4.7004, recall: 0.4688, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9575, kappa: 0.9557, kb_relative_information_score: 44.9635, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9577, predictive_accuracy: 0.9574, prior_entropy: 4.7004, recall: 0.9574, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9166, kappa: 0.9128, kb_relative_information_score: 7125.1314, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9204, predictive_accuracy: 0.9161, prior_entropy: 4.7004, recall: 0.9161, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9661, kappa: 0.9648, kb_relative_information_score: 7447.016, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9662, predictive_accuracy: 0.9661, prior_entropy: 4.7004, recall: 0.9661, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8953, kappa: 0.8918, kb_relative_information_score: 6884.5068, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8997, predictive_accuracy: 0.896, prior_entropy: 4.7004, recall: 0.896, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9122, kappa: 0.9078, kb_relative_information_score: 6802.7562, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9199, predictive_accuracy: 0.9114, prior_entropy: 4.7004, recall: 0.9114, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.084, root_relative_squared_error: 0.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: 0.0001, kb_relative_information_score: 33.8914, 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, 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: 0.9968, f_measure: 0.9065, kappa: 0.9026, kb_relative_information_score: 6734.5752, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9073, predictive_accuracy: 0.9064, prior_entropy: 4.7004, recall: 0.9064, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.4409,

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