Task
Supervised Data Stream Classification on iris

Supervised Data Stream Classification on iris

Task 2227 Supervised Data Stream Classification iris 60 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8515, kappa: 0.78, kb_relative_information_score: 104.9857, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8729, predictive_accuracy: 0.8533, prior_entropy: 1.585, recall: 0.8533, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9131, kappa: 0.87, kb_relative_information_score: 105.8564, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9182, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 117.8476, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9368, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.4752, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9368, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 134.3354, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 135.0973, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 137.047, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8515, kappa: 0.78, kb_relative_information_score: 104.9857, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8729, predictive_accuracy: 0.8533, prior_entropy: 1.585, recall: 0.8533, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8515, kappa: 0.78, kb_relative_information_score: 117.3961, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8729, predictive_accuracy: 0.8533, prior_entropy: 1.585, recall: 0.8533, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.4479, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9368, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 134.334, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9368, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 135.0949, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 135.0949, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 137.0474, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.899, kappa: 0.85, kb_relative_information_score: 129.4639, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9133, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9196, kappa: 0.88, kb_relative_information_score: 133.5712, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9491, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.899, kappa: 0.85, kb_relative_information_score: 129.4639, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9133, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9196, kappa: 0.88, kb_relative_information_score: 133.5712, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9491, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 136.3093, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 147.2619, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9868, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.32, kappa: 0.13, kb_relative_information_score: 30.8909, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.2604, predictive_accuracy: 0.42, prior_entropy: 1.585, recall: 0.42, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.3191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 134.0877, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9486, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4139, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 147.2619, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9868, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.1667, kb_relative_information_score: 41.8975, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 136.7003, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4122, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.3731, kappa: 0.21, kb_relative_information_score: 41.8435, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3083, predictive_accuracy: 0.4733, prior_entropy: 1.585, recall: 0.4733, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 136.7003, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4122, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 133.394, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9368, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4385, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 136.7003, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4122, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.3352, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9486, predictive_accuracy: 0.9467, prior_entropy: 1.585, ram_hours: 0, recall: 0.9467, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4189, run_cpu_time: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8152, kappa: 0.73, kb_relative_information_score: 119.6889, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8532, predictive_accuracy: 0.82, prior_entropy: 1.585, ram_hours: 0, recall: 0.82, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5504, run_cpu_time: 0.0631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9056, kappa: 0.86, kb_relative_information_score: 130.0559, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9205, predictive_accuracy: 0.9067, prior_entropy: 1.585, ram_hours: 0, recall: 0.9067, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4527, run_cpu_time: 0.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.1667, kb_relative_information_score: 41.8975, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 135.4776, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9368, predictive_accuracy: 0.9333, prior_entropy: 1.585, ram_hours: 0, recall: 0.9333, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4313, run_cpu_time: 0.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 133.394, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9368, predictive_accuracy: 0.9333, prior_entropy: 1.585, ram_hours: 0, recall: 0.9333, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4385, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 137.0902, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8152, kappa: 0.73, kb_relative_information_score: 119.6624, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8532, predictive_accuracy: 0.82, prior_entropy: 1.585, recall: 0.82, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5508,

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

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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