OpenML
Supervised Classification on analcatdata_chlamydia

Supervised Classification on analcatdata_chlamydia

Task 3739 Supervised Classification analcatdata_chlamydia 974 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 61.4695, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 61.4695, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.92, kappa: 0.7401, kb_relative_information_score: 28.4745, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 41.7215, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 41.7215, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.92, kappa: 0.7401, kb_relative_information_score: 28.4745, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 41.7215, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8563, kappa: 0.5573, kb_relative_information_score: 42.2731, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 41.7215, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 61.4695, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 61.4695, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 61.4695, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 41.7215, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8563, kappa: 0.5573, kb_relative_information_score: 42.2731, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 41.7215, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.92, kappa: 0.7401, kb_relative_information_score: 28.4745, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 61.4695, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8563, kappa: 0.5573, kb_relative_information_score: 42.2731, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8563, kappa: 0.5573, kb_relative_information_score: 42.2731, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8563, kappa: 0.5573, kb_relative_information_score: 42.2731, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.727, kappa: 0.0545, kb_relative_information_score: 4.9438, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7102, predictive_accuracy: 0.75, prior_entropy: 0.714, recall: 0.75, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.5, root_relative_squared_error: 1.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8563, kappa: 0.5573, kb_relative_information_score: 42.2731, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9307, kappa: 0.7771, kb_relative_information_score: 58.3814, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 71.9305, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.7701, kappa: 0.1863, kb_relative_information_score: 10.8958, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7609, predictive_accuracy: 0.8, prior_entropy: 0.714, recall: 0.8, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4003, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.7305, kappa: 0.0401, kb_relative_information_score: 1.5208, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7078, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.7305, kappa: 0.0401, kb_relative_information_score: 1.5208, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7078, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.7305, kappa: 0.0401, kb_relative_information_score: 3.1222, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7078, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.7305, kappa: 0.0401, kb_relative_information_score: 3.1222, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7078, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.7305, kappa: 0.0401, kb_relative_information_score: 3.1222, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7078, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 43.5591, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.6597, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9183, kappa: 0.7292, kb_relative_information_score: 53.7941, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9177, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.6196, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7747, kappa: 0.1855, kb_relative_information_score: 17.5635, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7876, predictive_accuracy: 0.82, prior_entropy: 0.714, recall: 0.82, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8678, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8325, kappa: 0.4002, kb_relative_information_score: 28.3058, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7599, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9112, kappa: 0.6902, kb_relative_information_score: 47.6856, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9272, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.255, root_relative_squared_error: 0.65, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8325, kappa: 0.4002, kb_relative_information_score: 28.3058, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7599, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8621, kappa: 0.5303, kb_relative_information_score: 32.5221, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8609, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.7397, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 43.5591, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.6597, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9183, kappa: 0.7292, kb_relative_information_score: 53.7941, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9177, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.6196, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9112, kappa: 0.6902, kb_relative_information_score: 47.6856, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9272, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.255, root_relative_squared_error: 0.65, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7747, kappa: 0.1855, kb_relative_information_score: 17.5635, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7876, predictive_accuracy: 0.82, prior_entropy: 0.714, recall: 0.82, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8678, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9276, kappa: 0.758, kb_relative_information_score: 58.062, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.928, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5761, scimark_benchmark: 763.3895, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8621, kappa: 0.5303, kb_relative_information_score: 32.5221, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8609, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.7397, scimark_benchmark: 936.3213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8711, kappa: 0.5409, kb_relative_information_score: 40.3333, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9032, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.7047, scimark_benchmark: 936.9595, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8711, kappa: 0.5409, kb_relative_information_score: 40.2872, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9032, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.7012, scimark_benchmark: 941.3057, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8709, kappa: 0.5565, kb_relative_information_score: 39.8999, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8724, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.7135, scimark_benchmark: 939.3535, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8494, kappa: 0.4826, kb_relative_information_score: 36.926, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8484, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.718, scimark_benchmark: 928.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 36.5849, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.283, root_relative_squared_error: 0.7214, scimark_benchmark: 899.1108, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 68.3245, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.6005, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 68.3245, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.6005, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 68.5235, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.6016, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9387, kappa: 0.7969, kb_relative_information_score: 67.7862, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9386, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5896, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 54.5078, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6247, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: -0.7809, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0007, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 54.7919, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.7887, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8325, kappa: 0.4002, kb_relative_information_score: 46.5015, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8699, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.841, kappa: 0.4278, kb_relative_information_score: 43.9057, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.888, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9238, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.8008, kappa: 0.2905, kb_relative_information_score: 32.7435, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8055, predictive_accuracy: 0.83, prior_entropy: 0.714, recall: 0.83, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3999, root_relative_squared_error: 1.0194, scimark_benchmark: 940.0055,

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