OpenML
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.8707, kappa: 0.2849, kb_relative_information_score: 0.3356, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2066, weighted_recall: 0.8944, number_of_instances: 45211, precision: 0.8742, predictive_accuracy: 0.8944, prior_entropy: 0.5206, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0112, unweighted_recall: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.5533, kappa: 0.4073, kb_relative_information_score: 0.4216, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5672, number_of_instances: 6118, precision: 0.548, predictive_accuracy: 0.5672, prior_entropy: 2.3, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.0727, unweighted_recall: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.5351, kappa: 0.3817, kb_relative_information_score: 0.4044, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2508, weighted_recall: 0.557, number_of_instances: 6118, precision: 0.5362, predictive_accuracy: 0.557, prior_entropy: 2.3, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0852, unweighted_recall: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5549, kappa: 0.4097, kb_relative_information_score: 0.4261, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5734, number_of_instances: 6118, precision: 0.5525, predictive_accuracy: 0.5734, prior_entropy: 2.3, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.065, unweighted_recall: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.3779, kappa: 0.1699, kb_relative_information_score: 0.2614, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4689, number_of_instances: 6118, precision: 0.4034, predictive_accuracy: 0.4689, prior_entropy: 2.3, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4207, root_relative_squared_error: 1.1883, unweighted_recall: 0.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.551, kappa: 0.4043, kb_relative_information_score: 0.4211, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2508, weighted_recall: 0.569, number_of_instances: 6118, precision: 0.5486, predictive_accuracy: 0.569, prior_entropy: 2.3, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0705, unweighted_recall: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4175, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445, unweighted_recall: 0.1667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, kappa: 0.0051, kb_relative_information_score: 0.181, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4183, number_of_instances: 6118, predictive_accuracy: 0.4183, prior_entropy: 2.3, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.2437, unweighted_recall: 0.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.5201, kappa: 0.3611, kb_relative_information_score: 0.3874, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5448, number_of_instances: 6118, precision: 0.5212, predictive_accuracy: 0.5448, prior_entropy: 2.3, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.1002, unweighted_recall: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.5406, kappa: 0.39, kb_relative_information_score: 0.4087, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5595, number_of_instances: 6118, precision: 0.5398, predictive_accuracy: 0.5595, prior_entropy: 2.3, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.0822, unweighted_recall: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5643, kappa: 0.4211, kb_relative_information_score: 0.439, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5839, number_of_instances: 6118, precision: 0.5621, predictive_accuracy: 0.5839, prior_entropy: 2.3, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.0519, unweighted_recall: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kappa: 0.0043, kb_relative_information_score: 0.181, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4189, number_of_instances: 6118, predictive_accuracy: 0.4189, prior_entropy: 2.3, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.243, unweighted_recall: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.5721, kappa: 0.4321, kb_relative_information_score: 0.443, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5817, number_of_instances: 6118, precision: 0.5674, predictive_accuracy: 0.5817, prior_entropy: 2.3, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0546, unweighted_recall: 0.4618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.5512, kappa: 0.4045, kb_relative_information_score: 0.4209, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5683, number_of_instances: 6118, precision: 0.5491, predictive_accuracy: 0.5683, prior_entropy: 2.3, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.0713, unweighted_recall: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4175, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445, unweighted_recall: 0.1667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.555, kappa: 0.4097, kb_relative_information_score: 0.4236, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5685, number_of_instances: 6118, precision: 0.5497, predictive_accuracy: 0.5685, prior_entropy: 2.3, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.0711, unweighted_recall: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.4141, kappa: 0.2142, kb_relative_information_score: 0.2879, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4817, number_of_instances: 6118, precision: 0.439, predictive_accuracy: 0.4817, prior_entropy: 2.3, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.1739, unweighted_recall: 0.2907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.4682, kappa: 0.2867, kb_relative_information_score: 0.3364, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5147, number_of_instances: 6118, precision: 0.483, predictive_accuracy: 0.5147, prior_entropy: 2.3, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4022, root_relative_squared_error: 1.1359, unweighted_recall: 0.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9464, kappa: 0.8684, kb_relative_information_score: 0.8578, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9465, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9465, prior_entropy: 0.863, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5122, unweighted_recall: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2641, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2066, weighted_recall: 0.883, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5206, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.342, root_relative_squared_error: 1.0642, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.9206, kappa: 0.663, kb_relative_information_score: 0.6028, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2429, weighted_recall: 0.9232, number_of_instances: 5000, precision: 0.9195, predictive_accuracy: 0.9232, prior_entropy: 0.5879, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.7954, unweighted_recall: 0.8111,
kim ds
Joined 2020-01-23
0 uploads 0.5 activity 0 reach 0 impact
Teo M
Joined 2020-01-23
1 uploads 1 activity 0 reach 0 impact
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 7 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 5 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 3 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 4 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 29 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 29 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 21 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 21 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 21 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 21 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 4 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 4 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 4 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 1 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 4 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 6 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 18 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 17 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 1 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 4 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 21 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 25 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 4 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 20 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 16 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 9 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 5 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 18 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 13 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 18 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 17 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 22 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 22 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 22 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 12 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 12 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 12 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 13 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 21 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 16 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - number_samples : 18 - target_feature : class