OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8112, kappa: 0.6193, kb_relative_information_score: 1652.9245, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7629, kappa: 0.5217, kb_relative_information_score: 972.3941, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.773, kappa: 0.542, kb_relative_information_score: 1114.0848, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7734, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8126, kappa: 0.622, kb_relative_information_score: 1647.9749, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8127, predictive_accuracy: 0.8129, prior_entropy: 0.9948, recall: 0.8129, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.811, kappa: 0.6189, kb_relative_information_score: 1647.6091, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.785, kappa: 0.5663, kb_relative_information_score: 1337.2411, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8097, kappa: 0.6163, kb_relative_information_score: 1643.9925, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1656.0773, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7991, kappa: 0.5947, kb_relative_information_score: 1489.4527, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9681, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8123, kappa: 0.6214, kb_relative_information_score: 1664.133, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1674.381, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8112, kappa: 0.6192, kb_relative_information_score: 1669.6674, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9681, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7365, kappa: 0.4683, kb_relative_information_score: 673.1855, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8027, kappa: 0.6019, kb_relative_information_score: 1458.2515, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8032, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1545.9244, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8147, kappa: 0.6262, kb_relative_information_score: 1604.1935, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8148, predictive_accuracy: 0.815, prior_entropy: 0.9948, recall: 0.815, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8115, kappa: 0.6198, kb_relative_information_score: 1629.6466, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8109, kappa: 0.6186, kb_relative_information_score: 1619.038, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8059, kappa: 0.6087, kb_relative_information_score: 1531.6916, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 1532.7225, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8063, kappa: 0.6095, kb_relative_information_score: 1516.0298, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8054, kappa: 0.6075, kb_relative_information_score: 1532.1867, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1530.3821, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8062, kappa: 0.6092, kb_relative_information_score: 1532.8718, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8117, kappa: 0.6203, kb_relative_information_score: 1639.8229, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8109, kappa: 0.6186, kb_relative_information_score: 1624.4934, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8065, kappa: 0.6098, kb_relative_information_score: 1533.4073, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8101, kappa: 0.617, kb_relative_information_score: 1637.9735, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8093, kappa: 0.6154, kb_relative_information_score: 1638.8476, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 1532.915, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8064, kappa: 0.6096, kb_relative_information_score: 1533.7167, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8089, kappa: 0.6146, kb_relative_information_score: 1536.6551, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8078, kappa: 0.6125, kb_relative_information_score: 1534.4521, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8098, kappa: 0.6164, kb_relative_information_score: 1633.9519, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7637, kappa: 0.5233, kb_relative_information_score: 1299.6022, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7644, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7992, kappa: 0.5949, kb_relative_information_score: 1327.075, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7991, kappa: 0.5949, kb_relative_information_score: 1329.9476, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8065, kappa: 0.61, kb_relative_information_score: 1549.386, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8083, kappa: 0.6134, kb_relative_information_score: 1521.385, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8061, kappa: 0.6093, kb_relative_information_score: 1697.495, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7651, kappa: 0.5277, kb_relative_information_score: 1526.6157, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7658, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9704, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8115, kappa: 0.6198, kb_relative_information_score: 1643.7702, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7282, kappa: 0.4529, kb_relative_information_score: 1260.2419, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7284, predictive_accuracy: 0.7281, prior_entropy: 0.9948, recall: 0.7281, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7585, kappa: 0.513, kb_relative_information_score: 1549.871, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7923, kappa: 0.5808, kb_relative_information_score: 1335.1682, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8084, kappa: 0.6135, kb_relative_information_score: 1647.8148, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8088, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1651.4783, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9681, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7843, kappa: 0.5648, kb_relative_information_score: 1394.8706, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7847, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9681, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8083, kappa: 0.6134, kb_relative_information_score: 1521.385, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8136, kappa: 0.624, kb_relative_information_score: 1596.7003, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8138, predictive_accuracy: 0.8139, prior_entropy: 0.9948, recall: 0.8139, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8122, kappa: 0.6213, kb_relative_information_score: 1602.6296, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8125, kappa: 0.6219, kb_relative_information_score: 1605.5539, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8127, predictive_accuracy: 0.8129, prior_entropy: 0.9948, recall: 0.8129, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8123, kappa: 0.6214, kb_relative_information_score: 1638.4731, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7963, kappa: 0.5891, kb_relative_information_score: 1394.9827, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7967, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1603.6241, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8082, kappa: 0.613, kb_relative_information_score: 1660.7463, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 1838.1905, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7442, kappa: 0.4845, kb_relative_information_score: 1813.0879, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7903, kappa: 0.5775, kb_relative_information_score: 1497.5663, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8004, kappa: 0.5982, kb_relative_information_score: 1553.1715, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1571.8138, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8099, kappa: 0.6168, kb_relative_information_score: 1570.852, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7442, kappa: 0.4845, kb_relative_information_score: 1813.0879, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7928, kappa: 0.5821, kb_relative_information_score: 1668.5313, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.783, kappa: 0.5638, kb_relative_information_score: 1543.6778, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.784, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7444, kappa: 0.4843, kb_relative_information_score: 1190.9373, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7485, kappa: 0.4925, kb_relative_information_score: 1223.246, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7506, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1008.2827, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1008.3051, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8017, kappa: 0.6002, kb_relative_information_score: 1449.3737, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7609, kappa: 0.5178, kb_relative_information_score: 1644.8247, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.686, kappa: 0.3678, kb_relative_information_score: 1406.9284, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.692, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8054, kappa: 0.6077, kb_relative_information_score: 1541.7893, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8123, kappa: 0.6215, kb_relative_information_score: 1650.5108, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7923, kappa: 0.5808, kb_relative_information_score: 1335.1945, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7821, kappa: 0.5605, kb_relative_information_score: 1170.8616, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8073, kappa: 0.6114, kb_relative_information_score: 1540.0484, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8058, kappa: 0.6084, kb_relative_information_score: 1412.8675, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8076, kappa: 0.612, kb_relative_information_score: 1539.4365, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7909, kappa: 0.5782, kb_relative_information_score: 1509.6612, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1606.2163, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8037, kappa: 0.604, kb_relative_information_score: 1535.9991, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 981.5054, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 1540.3134, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8037, kappa: 0.604, kb_relative_information_score: 1535.9991, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7597,

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