OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1663.3011, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7602, scimark_benchmark: 1058.6574, usercpu_time_millis: 12837.244, usercpu_time_millis_testing: 4.799, usercpu_time_millis_training: 12832.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1456.8004, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7821, scimark_benchmark: 1477.3541, usercpu_time_millis: 4029.23, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 4025.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1497.0295, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1511.4747, usercpu_time_millis: 4535.97, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 4534.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7369, kappa: 0.4708, kb_relative_information_score: 860.3858, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8702, scimark_benchmark: 1491.4678, usercpu_time_millis: 287.47, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 285.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.77, kappa: 0.5358, kb_relative_information_score: 1294.7252, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8128, scimark_benchmark: 1440.8493, usercpu_time_millis: 4317.91, usercpu_time_millis_testing: 2.78, usercpu_time_millis_training: 4315.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0509, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1432.3221, usercpu_time_millis: 7.26, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 5.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7748, kappa: 0.5455, kb_relative_information_score: 1294.3341, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1461.6458, usercpu_time_millis: 792.4, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 791.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1084, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1465.5802, usercpu_time_millis: 10.37, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 8.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.2678, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 4.41, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 3.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0986, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.1643, usercpu_time_millis: 6.814, usercpu_time_millis_testing: 1.024, usercpu_time_millis_training: 5.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7447, kappa: 0.4849, kb_relative_information_score: 508.7803, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9119, scimark_benchmark: 1851.3986, usercpu_time_millis: 30.873, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 29.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7949, kappa: 0.5862, kb_relative_information_score: 1457.9096, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7795, scimark_benchmark: 1460.9454, usercpu_time_millis: 2846.47, usercpu_time_millis_testing: 3.11, usercpu_time_millis_training: 2843.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8037, kappa: 0.6041, kb_relative_information_score: 1596.1804, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8038, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1449.0095, usercpu_time_millis: 380.62, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 379.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7977, kappa: 0.592, kb_relative_information_score: 1591.9519, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7663, scimark_benchmark: 1496.916, usercpu_time_millis: 18573.83, usercpu_time_millis_testing: 4.8, usercpu_time_millis_training: 18569.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0356, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1491.3199, usercpu_time_millis: 6.69, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 5.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8027, kappa: 0.602, kb_relative_information_score: 1624.431, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8032, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7579, scimark_benchmark: 1462.8616, usercpu_time_millis: 6131.4, usercpu_time_millis_testing: 2.67, usercpu_time_millis_training: 6128.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.069, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1487.1141, usercpu_time_millis: 6.4, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 5.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7414, kappa: 0.4783, kb_relative_information_score: 701.951, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7417, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8839, scimark_benchmark: 1478.4529, usercpu_time_millis: 44.18, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 43.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1621.8062, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1447.678, usercpu_time_millis: 4375.45, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 4372.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7974, kappa: 0.5914, kb_relative_information_score: 1610.3726, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1496.6471, usercpu_time_millis: 13008.85, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 13005.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7534, kappa: 0.5023, kb_relative_information_score: 932.2164, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8494, scimark_benchmark: 1846.6923, usercpu_time_millis: 39.759, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 38.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.809, kappa: 0.6147, kb_relative_information_score: 1592.0375, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.756, scimark_benchmark: 1510.4223, usercpu_time_millis: 3187.92, usercpu_time_millis_testing: 4.83, usercpu_time_millis_training: 3183.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8076, kappa: 0.612, kb_relative_information_score: 1625.8984, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1849.8294, usercpu_time_millis: 2638.126, usercpu_time_millis_testing: 2.471, usercpu_time_millis_training: 2635.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8063, kappa: 0.6092, kb_relative_information_score: 1656.7061, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1826.8494, usercpu_time_millis: 8386.179, usercpu_time_millis_testing: 4.888, usercpu_time_millis_training: 8381.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8037, kappa: 0.6042, kb_relative_information_score: 1756.0216, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8038, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7524, scimark_benchmark: 1801.8669, usercpu_time_millis: 8245.876, usercpu_time_millis_testing: 4.708, usercpu_time_millis_training: 8241.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7804, kappa: 0.557, kb_relative_information_score: 1416.0805, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947, scimark_benchmark: 1478.4456, usercpu_time_millis: 2094.03, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 2092.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7828, kappa: 0.5617, kb_relative_information_score: 1462.6893, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7897, scimark_benchmark: 1470.1622, usercpu_time_millis: 7370.95, usercpu_time_millis_testing: 2.72, usercpu_time_millis_training: 7368.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7456, kappa: 0.4868, kb_relative_information_score: 454.6779, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9202, scimark_benchmark: 1493.6067, usercpu_time_millis: 13.24, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 12.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7793, kappa: 0.5548, kb_relative_information_score: 1429.0297, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7799, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7943, scimark_benchmark: 1461.1756, usercpu_time_millis: 11521.87, usercpu_time_millis_testing: 3.01, usercpu_time_millis_training: 11518.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1307, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1512.1504, usercpu_time_millis: 6.33, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 5.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.808, kappa: 0.6128, kb_relative_information_score: 1648.6358, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1478.8499, usercpu_time_millis: 1036.15, usercpu_time_millis_testing: 3.56, usercpu_time_millis_training: 1032.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7976, kappa: 0.5919, kb_relative_information_score: 1274.5908, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7893, scimark_benchmark: 1485.0035, usercpu_time_millis: 266.08, usercpu_time_millis_testing: 4.47, usercpu_time_millis_training: 261.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1451.2218, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7711, scimark_benchmark: 1498.1677, usercpu_time_millis: 920.05, usercpu_time_millis_testing: 2.67, usercpu_time_millis_training: 917.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0255, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1501.2087, usercpu_time_millis: 9.22, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 7.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7647, kappa: 0.5254, kb_relative_information_score: 1018.7055, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8352, scimark_benchmark: 1507.2488, usercpu_time_millis: 169.18, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 167.58,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7979, kappa: 0.5924, kb_relative_information_score: 1589.1551, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.767, scimark_benchmark: 1400.9319, usercpu_time_millis: 5330.4, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 5328.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7586, kappa: 0.513, kb_relative_information_score: 1133.4865, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296, scimark_benchmark: 1484.2876, usercpu_time_millis: 942.86, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.797, kappa: 0.5907, kb_relative_information_score: 1528.1822, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7971, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7731, scimark_benchmark: 1499.3678, usercpu_time_millis: 2247.12, usercpu_time_millis_testing: 1.66, usercpu_time_millis_training: 2245.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7888, kappa: 0.5739, kb_relative_information_score: 1459.1514, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7835, scimark_benchmark: 1480.7619, usercpu_time_millis: 1485.72, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 1484.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1200.5957, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8089, scimark_benchmark: 1493.6013, usercpu_time_millis: 130.16, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 128.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7305, kappa: 0.4563, kb_relative_information_score: 564.0441, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7307, predictive_accuracy: 0.7313, prior_entropy: 0.9948, recall: 0.7313, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9035, scimark_benchmark: 1483.2029, usercpu_time_millis: 38.51, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 37.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7596, kappa: 0.5149, kb_relative_information_score: 1022.2565, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8396, scimark_benchmark: 1474.3963, usercpu_time_millis: 605.89, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 603.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.3448, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1488.7247, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 3.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7732, kappa: 0.5424, kb_relative_information_score: 1399.4672, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7748, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7997, scimark_benchmark: 1850.2875, usercpu_time_millis: 3221.289, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 3219.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7966, kappa: 0.5897, kb_relative_information_score: 1577.4898, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7675, scimark_benchmark: 1853.9121, usercpu_time_millis: 3503.014, usercpu_time_millis_testing: 2.556, usercpu_time_millis_training: 3500.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7948, kappa: 0.5862, kb_relative_information_score: 1767.4859, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7686, scimark_benchmark: 1840.3077, usercpu_time_millis: 494.87, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 493.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.791, kappa: 0.5783, kb_relative_information_score: 1430.8737, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846, scimark_benchmark: 1851.4874, usercpu_time_millis: 941.133, usercpu_time_millis_testing: 2.09, usercpu_time_millis_training: 939.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1283.7898, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1853.9121, usercpu_time_millis: 1808.649, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 1807.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7986, kappa: 0.5938, kb_relative_information_score: 1599.4123, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1728.0291, usercpu_time_millis: 2035.019, usercpu_time_millis_testing: 1.736, usercpu_time_millis_training: 2033.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7492, kappa: 0.4942, kb_relative_information_score: 1214.3559, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8394, scimark_benchmark: 2145.081, usercpu_time_millis: 2382.38, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 2380.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1572.9194, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7646, scimark_benchmark: 1830.1486, usercpu_time_millis: 3833.326, usercpu_time_millis_testing: 4.163, usercpu_time_millis_training: 3829.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8067, kappa: 0.6103, kb_relative_information_score: 1737.0239, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1835.8408, usercpu_time_millis: 8319.325, usercpu_time_millis_testing: 4.26, usercpu_time_millis_training: 8315.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1127, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1740.3758, usercpu_time_millis: 8.384, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 7.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1215, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1717.5575, usercpu_time_millis: 6.78, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 5.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8076, kappa: 0.6119, kb_relative_information_score: 1641.9018, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.753, scimark_benchmark: 1732.8067, usercpu_time_millis: 3196.68, usercpu_time_millis_testing: 5.027, usercpu_time_millis_training: 3191.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7584, kappa: 0.5126, kb_relative_information_score: 1180.5394, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8289, scimark_benchmark: 1741.5466, usercpu_time_millis: 1113.931, usercpu_time_millis_testing: 2.059, usercpu_time_millis_training: 1111.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7651, kappa: 0.526, kb_relative_information_score: 1218.9808, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.82, scimark_benchmark: 1716.8263, usercpu_time_millis: 600.838, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 599.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8116, kappa: 0.6202, kb_relative_information_score: 1712.4068, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7452, scimark_benchmark: 1740.0196, usercpu_time_millis: 619.739, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 617.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7688, kappa: 0.5336, kb_relative_information_score: 1306.5831, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7691, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8166, scimark_benchmark: 1729.728, usercpu_time_millis: 651.835, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 650.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7869, kappa: 0.5701, kb_relative_information_score: 1433.5743, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7849, scimark_benchmark: 1848.8462, usercpu_time_millis: 827.638, usercpu_time_millis_testing: 1.895, usercpu_time_millis_training: 825.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7568, kappa: 0.5092, kb_relative_information_score: 1264.5244, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8218, scimark_benchmark: 1720.5044, usercpu_time_millis: 1608.198, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 1606.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8083, kappa: 0.6134, kb_relative_information_score: 1712.0558, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7495, scimark_benchmark: 1179.2795, usercpu_time_millis: 5285.646, usercpu_time_millis_testing: 4.036, usercpu_time_millis_training: 5281.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1436.3946, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 1184.1451, usercpu_time_millis: 2385.033, usercpu_time_millis_testing: 6.553, usercpu_time_millis_training: 2378.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: 0.0848, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1177.3212, usercpu_time_millis: 7.074, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 5.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8036, kappa: 0.6037, kb_relative_information_score: 1656.087, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1197.9395, usercpu_time_millis: 10312.165, usercpu_time_millis_testing: 3.374, usercpu_time_millis_training: 10308.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1271.9118, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1182.1326, usercpu_time_millis: 515.996, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 514.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8006, kappa: 0.5977, kb_relative_information_score: 1517.076, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1178.9696, usercpu_time_millis: 3080.359, usercpu_time_millis_testing: 4.293, usercpu_time_millis_training: 3076.066,

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