Task
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: 0.6464, f_measure: 0.6161, kb_relative_information_score: 6.7127, mean_absolute_error: 0.349, 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: 0.8894, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9798, scimark_benchmark: 915.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, build_cpu_time: 0.058, build_memory: 85686088, f_measure: 0.6906, kappa: 0.174, kb_relative_information_score: 2.0127, mean_absolute_error: 0.3602, 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: 0.9179, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0264, scimark_benchmark: 934.2813,
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: 0.6154, 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: 0.5, 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: 1323.4116,
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: 0.6423, 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: 0.6454, 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: 0.5903, 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: 0.6367, 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: 0.6159, 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: 0.6423, 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: 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: 0.6159, 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: 0.6154, 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: 0.6154, 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: 0.6454, 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: 0.6454, 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: 0.6367, 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: 1339.2472,
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: 1339.4412,
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: 1346.2927,
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: 1321.0448, 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: 1362.9924,
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: 1336.0954,
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: 1340.9749, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, 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: 1331.7953,
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: 1338.5214, 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: 908.2231,
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: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1310.3168, 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: 1317.5857,
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: 0.6423, 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: 0.6154, 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: 1337.9552,
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: 1342.8632,
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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: 1353.0836, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7429, kappa: 0.3122, kb_relative_information_score: 7.5444, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.0013, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7429, kappa: 0.3122, kb_relative_information_score: 7.5444, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.0013, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6792, kappa: 0.1396, kb_relative_information_score: 28.5706, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7037, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0324, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7429, kappa: 0.3122, kb_relative_information_score: 7.5444, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.0013, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7429, kappa: 0.3122, kb_relative_information_score: 7.5444, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.0013, scimark_benchmark: 894.7131,
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: 933.3455, 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: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.1957, mean_absolute_error: 0.3916, 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: 0.9979, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
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: 730.6551, usercpu_time_millis: 440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 420,
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: 939.3886, 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: 945.0194, 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: 938.838,
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: 938.838,
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: 938.838,
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: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6654, kappa: 0.1008, kb_relative_information_score: 3.3097, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.428, root_relative_squared_error: 0.964, scimark_benchmark: 931.7994,
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: 903.4813, 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: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.6831, kappa: 0.156, kb_relative_information_score: -9.6886, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6743, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 1.037, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9917, scimark_benchmark: 936.7184, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
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: 942.3809,

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