OpenML
Supervised Classification on haberman

Supervised Classification on haberman

Task 272 Supervised Classification haberman 1379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6612, kappa: 0.0978, kb_relative_information_score: 0.9709, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6488, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0089, scimark_benchmark: 1393.8432, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.4127, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.09, scimark_benchmark: 1343.3311, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -10.5377, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6459, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.0247, scimark_benchmark: 1346.1568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: 0.9435, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0165, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6612, kappa: 0.0978, kb_relative_information_score: 0.9709, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6488, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0089, scimark_benchmark: 1318.4315, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.6278, kappa: 0.0134, kb_relative_information_score: -1.4626, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6243, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0474, scimark_benchmark: 1393.8432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.4127, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.09, scimark_benchmark: 1310.6554, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.6793, kappa: 0.1649, kb_relative_information_score: 4.3066, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.672, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0627, scimark_benchmark: 1253.0071, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.7371, kappa: 0.2935, kb_relative_information_score: 38.6637, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.836, recall: 0.78, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0565, scimark_benchmark: 1336.4701, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.6312, kappa: 0.0132, kb_relative_information_score: -10.2654, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6119, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 1.0307, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0791, scimark_benchmark: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6612, kappa: 0.0978, kb_relative_information_score: 0.9709, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6488, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0089, scimark_benchmark: 1313.8988, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1360.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.4127, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.09, scimark_benchmark: 1310.3168, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -10.5377, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6459, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.0247, scimark_benchmark: 1323.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.7371, kappa: 0.2935, kb_relative_information_score: 38.6637, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.836, recall: 0.78, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0565, scimark_benchmark: 1371.4836, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.6278, kappa: 0.0134, kb_relative_information_score: -1.4626, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6243, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0474, scimark_benchmark: 1360.0477, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.4127, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.09, scimark_benchmark: 1360.6367, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.7371, kappa: 0.2935, kb_relative_information_score: 38.6637, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.836, recall: 0.78, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0565, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.7371, kappa: 0.2935, kb_relative_information_score: 38.6637, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.836, recall: 0.78, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0565, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: 0.9435, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0165, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.4127, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.09, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.7371, kappa: 0.2935, kb_relative_information_score: 38.6637, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.836, recall: 0.78, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0565, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.4127, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.09, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -10.5377, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6459, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.0247, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6612, kappa: 0.0978, kb_relative_information_score: 0.9709, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6488, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0089, scimark_benchmark: 1297.2338, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: 0.9435, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0165, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 1288.1375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.6278, kappa: 0.0134, kb_relative_information_score: -1.4626, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6243, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0474, scimark_benchmark: 1328.1857, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.0577, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1, scimark_benchmark: 1334.8272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6161, kb_relative_information_score: 3.3588, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.988, scimark_benchmark: 1353.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: 10.1626, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0845, scimark_benchmark: 918.6005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.6793, kappa: 0.1649, kb_relative_information_score: 4.3066, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.672, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0627, scimark_benchmark: 1367.8403, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6161, kb_relative_information_score: 23.5247, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0683, scimark_benchmark: 1283.2145, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6161, kb_relative_information_score: 1.1722, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9819, scimark_benchmark: 1326.6565, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6906, kappa: 0.174, kb_relative_information_score: 9.6469, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6842, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.99, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.6535, kappa: 0.073, kb_relative_information_score: -1.7477, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6397, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.007, scimark_benchmark: 1340.1351, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -7.1867, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0514, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.6312, kappa: 0.0132, kb_relative_information_score: -10.2654, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6119, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 1.0307, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0791, scimark_benchmark: 1308.3503, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.6654, kappa: 0.2131, kb_relative_information_score: 2.0301, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6953, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.3325, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.6034, kappa: 0.1362, kb_relative_information_score: -48.5052, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6704, predictive_accuracy: 0.58, prior_entropy: 0.836, recall: 0.58, relative_absolute_error: 1.2667, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.1279, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.6334, kappa: 0.033, kb_relative_information_score: -48.4888, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6713, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 1.2638, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.1185, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7348, kappa: 0.292, kb_relative_information_score: 33.0278, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7374, predictive_accuracy: 0.76, prior_entropy: 0.836, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.1034, scimark_benchmark: 932.0242, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.7292, kappa: 0.2722, kb_relative_information_score: 15.8375, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7568, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9567, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -10.5377, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6459, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.0247, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.6161, kb_relative_information_score: 2.04, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9799, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.6161, kb_relative_information_score: 2.7051, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9784, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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