OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 18299 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

18299 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7977, kappa: 0.7783, kb_relative_information_score: 1373.3881, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7433, kappa: 0.7139, kb_relative_information_score: 1461.4349, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7445, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7548, kappa: 0.7267, kb_relative_information_score: 1485.4873, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7558, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, kappa: 0.4872, kb_relative_information_score: 1124.3194, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.5385, prior_entropy: 3.3219, recall: 0.5385, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.7342, kappa: 0.7044, kb_relative_information_score: 1471.2364, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7397, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7331, kappa: 0.7033, kb_relative_information_score: 1468.1104, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7386, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.7621, kappa: 0.7356, kb_relative_information_score: 1530.0485, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.7499, kappa: 0.7233, kb_relative_information_score: 1519.6037, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.7492, kappa: 0.7211, kb_relative_information_score: 1495.3028, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7505, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7705, kappa: 0.745, kb_relative_information_score: 1545.1569, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7713, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.7628, kappa: 0.7361, kb_relative_information_score: 1531.8994, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7639, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.7607, kappa: 0.7344, kb_relative_information_score: 1532.8366, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7619, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7211, kb_relative_information_score: 1497.8198, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7392, kappa: 0.7094, kb_relative_information_score: 1462.6257, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7452, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7645, kappa: 0.7389, kb_relative_information_score: 1535.7828, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.765, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.7408, kappa: 0.7144, kb_relative_information_score: 1499.4333, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7442, predictive_accuracy: 0.743, prior_entropy: 3.3219, recall: 0.743, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.752, kappa: 0.7256, kb_relative_information_score: 1523.0318, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7529, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7674, kappa: 0.7417, kb_relative_information_score: 1518.4765, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7675, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.7393, kappa: 0.7128, kb_relative_information_score: 1502.5685, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7403, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.7399, kappa: 0.7106, kb_relative_information_score: 1462.9097, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7457, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.7492, kappa: 0.7228, kb_relative_information_score: 1514.6434, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7509, predictive_accuracy: 0.7505, prior_entropy: 3.3219, recall: 0.7505, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.7487, kappa: 0.7222, kb_relative_information_score: 1516.9257, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.7477, kappa: 0.7211, kb_relative_information_score: 1514.8319, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7493, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.7632, kappa: 0.7367, kb_relative_information_score: 1534.1276, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7642, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.7559, kappa: 0.7289, kb_relative_information_score: 1528.8037, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7571, predictive_accuracy: 0.756, prior_entropy: 3.3219, recall: 0.756, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7342, kappa: 0.7044, kb_relative_information_score: 1470.369, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7395, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7654, kappa: 0.7389, kb_relative_information_score: 1540.6259, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7668, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.767, kappa: 0.7417, kb_relative_information_score: 1536.9682, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7675, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7693, kappa: 0.7439, kb_relative_information_score: 1535.6378, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7702, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7617, kappa: 0.735, kb_relative_information_score: 1508.5642, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7634, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7354, kappa: 0.7056, kb_relative_information_score: 1464.7734, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7399, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.7567, kappa: 0.7306, kb_relative_information_score: 1526.282, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7573, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7387, kappa: 0.7089, kb_relative_information_score: 1464.298, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7435, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7427, kappa: 0.7133, kb_relative_information_score: 1457.0027, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7473, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.7739, kappa: 0.7489, kb_relative_information_score: 1547.3425, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7741, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7386, kappa: 0.7089, kb_relative_information_score: 1466.1048, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7435, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7539, kappa: 0.7261, kb_relative_information_score: 1514.3634, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7562, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.6665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7521, kappa: 0.7239, kb_relative_information_score: 1503.1941, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7541, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7386, kappa: 0.7089, kb_relative_information_score: 1463.9703, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7433, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7557, kappa: 0.7261, kb_relative_information_score: 1504.4368, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7585, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7464, kappa: 0.7194, kb_relative_information_score: 1517.5016, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7478, predictive_accuracy: 0.7475, prior_entropy: 3.3219, recall: 0.7475, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7542, kappa: 0.7278, kb_relative_information_score: 1526.9348, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7548, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.7612, kappa: 0.7344, kb_relative_information_score: 1535.0165, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.762, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.7445, kappa: 0.7156, kb_relative_information_score: 1499.6745, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7458, predictive_accuracy: 0.744, prior_entropy: 3.3219, recall: 0.744, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.7522, kappa: 0.7244, kb_relative_information_score: 1503.096, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.754, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.7466, kappa: 0.7189, kb_relative_information_score: 1500.3192, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7469, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.6701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.7531, kappa: 0.7256, kb_relative_information_score: 1490.2109, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7566, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7364, kappa: 0.7061, kb_relative_information_score: 1449.5807, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7426, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.7552, kappa: 0.7289, kb_relative_information_score: 1529.6131, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7559, predictive_accuracy: 0.756, prior_entropy: 3.3219, recall: 0.756, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.7514, kappa: 0.725, kb_relative_information_score: 1523.9097, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.7427, kappa: 0.7133, kb_relative_information_score: 1457.4715, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7473, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.7397, kappa: 0.7133, kb_relative_information_score: 1503.264, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7547, kappa: 0.7278, kb_relative_information_score: 1506.7264, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7559, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.7428, kappa: 0.7167, kb_relative_information_score: 1504.8174, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7445, predictive_accuracy: 0.745, prior_entropy: 3.3219, recall: 0.745, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1457.9337, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7479, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7535, kappa: 0.7256, kb_relative_information_score: 1512.7749, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7558, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7597, kappa: 0.7328, kb_relative_information_score: 1499.5843, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7627, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.754, kappa: 0.7267, kb_relative_information_score: 1502.121, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.755, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7529, kappa: 0.7267, kb_relative_information_score: 1525.08, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7537, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.7621, kappa: 0.7356, kb_relative_information_score: 1530.1864, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7629, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.7513, kappa: 0.7233, kb_relative_information_score: 1508.9575, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7531, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.7634, kappa: 0.7372, kb_relative_information_score: 1514.5603, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7636, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7386, kappa: 0.7089, kb_relative_information_score: 1466.251, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7434, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.7508, kappa: 0.7217, kb_relative_information_score: 1504.3719, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7528, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.7533, kappa: 0.7256, kb_relative_information_score: 1498.2113, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7551, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.7673, kappa: 0.7417, kb_relative_information_score: 1537.4435, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7674, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7608, kappa: 0.7339, kb_relative_information_score: 1530.124, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7622, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.7539, kappa: 0.7267, kb_relative_information_score: 1508.4926, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7557, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.7449, kappa: 0.7189, kb_relative_information_score: 1505.9824, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7467, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.7526, kappa: 0.725, kb_relative_information_score: 1490.787, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7561, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.7644, kappa: 0.7383, kb_relative_information_score: 1537.4874, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.765, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.7666, kappa: 0.7411, kb_relative_information_score: 1533.5749, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7673, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.763, kappa: 0.7372, kb_relative_information_score: 1524.4534, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7359, kappa: 0.7056, kb_relative_information_score: 1448.0564, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.742, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7581, kappa: 0.7317, kb_relative_information_score: 1506.3462, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7597, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7442, kappa: 0.7178, kb_relative_information_score: 1513.6773, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7455, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.7386, kappa: 0.7089, kb_relative_information_score: 1463.8623, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7434, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1459.5003, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7479, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.7522, kappa: 0.7256, kb_relative_information_score: 1522.0605, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7534, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7514, kappa: 0.725, kb_relative_information_score: 1522.5488, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7523, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7571, kappa: 0.73, kb_relative_information_score: 1532.3679, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.758, predictive_accuracy: 0.757, prior_entropy: 3.3219, recall: 0.757, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.7713, kappa: 0.7461, kb_relative_information_score: 1551.9623, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7719, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.7638, kappa: 0.7378, kb_relative_information_score: 1532.8227, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7644, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.7447, kappa: 0.7183, kb_relative_information_score: 1514.2803, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.746, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7336, kappa: 0.7022, kb_relative_information_score: 1445.1449, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7412, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.7387, kappa: 0.7122, kb_relative_information_score: 1502.1662, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7399, predictive_accuracy: 0.741, prior_entropy: 3.3219, recall: 0.741, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.7691, kappa: 0.7428, kb_relative_information_score: 1550.1453, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7704, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.7523, kappa: 0.7256, kb_relative_information_score: 1503.4428, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7531, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.739, kappa: 0.7122, kb_relative_information_score: 1497.859, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7427, predictive_accuracy: 0.741, prior_entropy: 3.3219, recall: 0.741, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7684, kappa: 0.7428, kb_relative_information_score: 1537.3164, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7689, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7365, kappa: 0.7067, kb_relative_information_score: 1465.4647, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.7585, kappa: 0.7322, kb_relative_information_score: 1505.3019, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7603, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.7342, kappa: 0.7044, kb_relative_information_score: 1471.9894, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7397, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.7476, kappa: 0.72, kb_relative_information_score: 1497.0803, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7481, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7427, kappa: 0.7133, kb_relative_information_score: 1457.5817, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7473, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7628, kappa: 0.7372, kb_relative_information_score: 1532.9609, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.763, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.7444, kappa: 0.7183, kb_relative_information_score: 1505.9863, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7461, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.7429, kappa: 0.7161, kb_relative_information_score: 1502.5512, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7447, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7719, kappa: 0.7461, kb_relative_information_score: 1522.0888, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7724, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7745, kappa: 0.7489, kb_relative_information_score: 1528.7914, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7754, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7032,

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

OpenML bootcamp

From your own software

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

OpenML APIs