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: 0.9287, f_measure: 0.7587, kappa: 0.7317, kb_relative_information_score: 1498.6598, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7617, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3195, 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: 0.9434, f_measure: 0.7419, kappa: 0.7156, kb_relative_information_score: 1504.1734, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7431, predictive_accuracy: 0.744, prior_entropy: 3.3219, recall: 0.744, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.7444, kappa: 0.7178, kb_relative_information_score: 1513.2451, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7459, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.7513, kappa: 0.7222, kb_relative_information_score: 1503.2753, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7535, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.7519, kappa: 0.7233, kb_relative_information_score: 1511.753, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7533, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.7439, kappa: 0.7172, kb_relative_information_score: 1501.1403, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7458, predictive_accuracy: 0.7455, prior_entropy: 3.3219, recall: 0.7455, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.7539, kappa: 0.7272, kb_relative_information_score: 1495.347, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7567, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7333, kappa: 0.7033, kb_relative_information_score: 1468.9314, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7388, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7597, kappa: 0.7333, kb_relative_information_score: 1527.7611, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7599, predictive_accuracy: 0.76, prior_entropy: 3.3219, recall: 0.76, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.7583, kappa: 0.7317, kb_relative_information_score: 1508.8105, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.759, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3051, 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: 0.8725, f_measure: 0.7709, kappa: 0.745, kb_relative_information_score: 1519.9973, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7715, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.7141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7531, kappa: 0.7267, kb_relative_information_score: 1526.3358, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7542, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3197, 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: 0.9431, f_measure: 0.7431, kappa: 0.7161, kb_relative_information_score: 1516.1161, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7444, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.7687, kappa: 0.7433, kb_relative_information_score: 1544.575, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7692, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.202, root_relative_squared_error: 0.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.762, kappa: 0.735, kb_relative_information_score: 1531.7341, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7629, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.2876, 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: 0.9311, f_measure: 0.7542, kappa: 0.7267, kb_relative_information_score: 1490.6566, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7577, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 1533.1503, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.7341, kappa: 0.7028, kb_relative_information_score: 1446.6494, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7415, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7507, kappa: 0.7239, kb_relative_information_score: 1500.839, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7342, kappa: 0.7044, kb_relative_information_score: 1470.2824, mean_absolute_error: 0.063, 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: 0.35, 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: 0.9413, f_measure: 0.7336, kappa: 0.7022, kb_relative_information_score: 1444.8391, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.746, kappa: 0.7167, kb_relative_information_score: 1508.3431, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7475, predictive_accuracy: 0.745, prior_entropy: 3.3219, recall: 0.745, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7382, kappa: 0.7083, kb_relative_information_score: 1490.3197, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7393, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.7641, kappa: 0.7383, kb_relative_information_score: 1539.8605, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7646, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7548, kappa: 0.7283, kb_relative_information_score: 1525.2473, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7554, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.7716, kappa: 0.7461, kb_relative_information_score: 1554.8223, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7729, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7511, kappa: 0.7239, kb_relative_information_score: 1499.4109, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7521, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.205, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7336, kappa: 0.7022, kb_relative_information_score: 1443.8776, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.741, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7462, kappa: 0.7194, kb_relative_information_score: 1517.5159, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7473, predictive_accuracy: 0.7475, prior_entropy: 3.3219, recall: 0.7475, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.7511, kappa: 0.7217, kb_relative_information_score: 1499.7897, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7533, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.7392, kappa: 0.7139, kb_relative_information_score: 1497.1, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.741, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7529, kappa: 0.7267, kb_relative_information_score: 1527.8917, mean_absolute_error: 0.0575, 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: 0.3193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.7675, kappa: 0.7417, kb_relative_information_score: 1541.4441, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7679, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.7621, kappa: 0.7356, kb_relative_information_score: 1534.8348, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7633, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.7351, kappa: 0.7039, kb_relative_information_score: 1446.0693, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7426, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7581, kappa: 0.7306, kb_relative_information_score: 1519.8751, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7591, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7427, kappa: 0.7161, kb_relative_information_score: 1510.0796, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.744, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.754, kappa: 0.7267, kb_relative_information_score: 1492.109, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7573, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.6449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.7467, kappa: 0.7189, kb_relative_information_score: 1493.0159, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7475, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7608, kappa: 0.7339, kb_relative_information_score: 1507.0177, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7621, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.3079, 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: 0.9301, f_measure: 0.7536, kappa: 0.7261, kb_relative_information_score: 1489.8936, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.757, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.7438, kappa: 0.7178, kb_relative_information_score: 1505.0872, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7456, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.7682, kappa: 0.7422, kb_relative_information_score: 1558.308, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7696, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.6408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7653, kappa: 0.74, kb_relative_information_score: 1531.1444, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7656, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.742, kappa: 0.7156, kb_relative_information_score: 1503.9826, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7432, predictive_accuracy: 0.744, prior_entropy: 3.3219, recall: 0.744, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7635, kappa: 0.7378, kb_relative_information_score: 1534.5135, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.764, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2983, 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: 0.8602, f_measure: 0.7445, kappa: 0.7156, kb_relative_information_score: 1466.7593, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7453, predictive_accuracy: 0.744, prior_entropy: 3.3219, recall: 0.744, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7527, kappa: 0.7256, kb_relative_information_score: 1501.1278, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7537, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.6651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.7409, kappa: 0.715, kb_relative_information_score: 1496.4008, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7429, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.7563, kappa: 0.73, kb_relative_information_score: 1528.6138, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7569, predictive_accuracy: 0.757, prior_entropy: 3.3219, recall: 0.757, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.7428, kappa: 0.7161, kb_relative_information_score: 1510.1986, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7443, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.7572, kappa: 0.73, kb_relative_information_score: 1533.003, mean_absolute_error: 0.052, 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: 0.289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.7731, kappa: 0.7478, kb_relative_information_score: 1549.834, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.774, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.7382, kappa: 0.7083, kb_relative_information_score: 1466.905, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7429, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.3458, 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: 0.9483, f_measure: 0.7391, kappa: 0.7122, kb_relative_information_score: 1499.9348, mean_absolute_error: 0.0621, 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: 0.3451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.7395, kappa: 0.71, kb_relative_information_score: 1463.5861, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7451, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7359, kappa: 0.7056, kb_relative_information_score: 1447.971, mean_absolute_error: 0.0655, 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: 0.3637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.7568, kappa: 0.7306, kb_relative_information_score: 1530.2647, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7577, 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: 0.1893, root_relative_squared_error: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.7482, kappa: 0.7183, kb_relative_information_score: 1492.4699, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7505, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.7341, kappa: 0.7028, kb_relative_information_score: 1445.9988, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7417, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7342, kappa: 0.7044, kb_relative_information_score: 1470.4972, mean_absolute_error: 0.0629, 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: 0.3497, 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: 0.9299, f_measure: 0.7413, kappa: 0.7122, kb_relative_information_score: 1480.8329, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7465, predictive_accuracy: 0.741, prior_entropy: 3.3219, recall: 0.741, relative_absolute_error: 0.3386, 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: 0.934, f_measure: 0.7513, kappa: 0.7244, kb_relative_information_score: 1524.0634, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7612, kappa: 0.735, kb_relative_information_score: 1530.3083, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7617, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.7586, kappa: 0.7317, kb_relative_information_score: 1496.3329, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7618, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7596, kappa: 0.7328, kb_relative_information_score: 1531.2369, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7611, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2948, 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: 0.9067, f_measure: 0.7706, kappa: 0.7456, kb_relative_information_score: 1549.194, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7708, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.266, 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: 0.8995, f_measure: 0.7689, kappa: 0.7433, kb_relative_information_score: 1542.7778, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7694, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7686, kappa: 0.7428, kb_relative_information_score: 1533.7866, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.769, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.7537, kappa: 0.7267, kb_relative_information_score: 1505.2324, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7545, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.753, kappa: 0.7256, kb_relative_information_score: 1489.3103, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7564, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.7443, kappa: 0.7172, kb_relative_information_score: 1514.9471, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7455, predictive_accuracy: 0.7455, prior_entropy: 3.3219, recall: 0.7455, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.7588, kappa: 0.7322, kb_relative_information_score: 1504.346, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7599, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.7456, kappa: 0.7189, kb_relative_information_score: 1510.3386, mean_absolute_error: 0.0594, 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: 0.3298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.7536, kappa: 0.7261, kb_relative_information_score: 1500.1511, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7552, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.3088, 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: 0.8967, f_measure: 0.7491, kappa: 0.7194, kb_relative_information_score: 1497.785, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7517, predictive_accuracy: 0.7475, prior_entropy: 3.3219, recall: 0.7475, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7408, kappa: 0.7117, kb_relative_information_score: 1480.2466, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7459, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7692, kappa: 0.7439, kb_relative_information_score: 1532.8654, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7698, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.7408, kappa: 0.7144, kb_relative_information_score: 1501.7727, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7444, predictive_accuracy: 0.743, prior_entropy: 3.3219, recall: 0.743, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.189, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7531, kappa: 0.7267, kb_relative_information_score: 1499.6678, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7546, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7526, kappa: 0.7256, kb_relative_information_score: 1504.5932, mean_absolute_error: 0.0553, 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: 0.3075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.7336, kappa: 0.7022, kb_relative_information_score: 1444.5748, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7569, kappa: 0.7294, kb_relative_information_score: 1509.5222, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7592, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.7547, kappa: 0.7267, kb_relative_information_score: 1509.6565, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7569, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.7413, kappa: 0.7161, kb_relative_information_score: 1497.1862, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7433, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3446, 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: 0.9216, f_measure: 0.7573, kappa: 0.7311, kb_relative_information_score: 1503.0052, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7589, predictive_accuracy: 0.758, prior_entropy: 3.3219, recall: 0.758, relative_absolute_error: 0.3151, 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: 0.9404, f_measure: 0.7492, kappa: 0.7228, kb_relative_information_score: 1517.4662, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7505, prior_entropy: 3.3219, recall: 0.7505, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7408, kappa: 0.7144, kb_relative_information_score: 1500.161, mean_absolute_error: 0.0621, 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: 0.3452, 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: 0.9082, f_measure: 0.7634, kappa: 0.7372, kb_relative_information_score: 1531.0301, mean_absolute_error: 0.0506, 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: 0.2809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7673, kappa: 0.7411, kb_relative_information_score: 1535.3068, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7684, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.7391, kappa: 0.7094, kb_relative_information_score: 1463.5309, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.744, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.7571, kappa: 0.73, kb_relative_information_score: 1529.6614, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7578, predictive_accuracy: 0.757, prior_entropy: 3.3219, recall: 0.757, relative_absolute_error: 0.2845, 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: 0.937, f_measure: 0.7367, kappa: 0.7067, kb_relative_information_score: 1463.3517, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7416, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7497, kappa: 0.7233, kb_relative_information_score: 1516.1049, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7512, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.7364, kappa: 0.7061, kb_relative_information_score: 1449.0199, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7425, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.363, 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: 0.9282, f_measure: 0.7611, kappa: 0.7344, kb_relative_information_score: 1499.9596, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7643, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.7434, kappa: 0.7172, kb_relative_information_score: 1504.3822, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.745, predictive_accuracy: 0.7455, prior_entropy: 3.3219, recall: 0.7455, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7348, kappa: 0.705, kb_relative_information_score: 1462.6056, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7395, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7639, kappa: 0.7372, kb_relative_information_score: 1528.788, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7645, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7518, kappa: 0.7239, kb_relative_information_score: 1508.1875, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7532, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.687,

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