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: 0.8337, f_measure: 0.7648, kappa: 0.5254, kb_relative_information_score: 1101.6449, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1454.9423, usercpu_time_millis: 213.61, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 212.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8087, kappa: 0.6143, kb_relative_information_score: 1681.3885, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7497, scimark_benchmark: 1498.7153, usercpu_time_millis: 2908.31, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 2905.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8075, kappa: 0.612, kb_relative_information_score: 1774.7303, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7495, scimark_benchmark: 1467.0337, usercpu_time_millis: 952.38, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 951.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8027, kappa: 0.6023, kb_relative_information_score: 1451.3571, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1521.766, usercpu_time_millis: 100.64, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 98.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7386, kappa: 0.4725, kb_relative_information_score: 731.6871, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7391, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1525.429, usercpu_time_millis: 66.74, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 65.46,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7352, kappa: 0.4661, kb_relative_information_score: 408.5201, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.74, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.928, scimark_benchmark: 1496.4208, usercpu_time_millis: 41.51, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 40.31,
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: 0.8723, 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: 0.8691, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1587.5153, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1510.0158, usercpu_time_millis: 9291.65, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 9288.96,
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: 0.8827, 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: 0.4995, 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: 0.8492, 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: 0.7967, 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: 0.8526, 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: 0.8639, f_measure: 0.7909, kappa: 0.5785, kb_relative_information_score: 1797.4204, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7771, scimark_benchmark: 1455.8938, usercpu_time_millis: 508.27, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 507.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 989.8049, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8721, scimark_benchmark: 1474.9607, usercpu_time_millis: 246.23, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 245.29,
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: 0.865, 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: 0.8266, 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: 0.8679, 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: 0.8067, f_measure: 0.7497, kappa: 0.4951, kb_relative_information_score: 774.8886, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.75, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8733, scimark_benchmark: 1487.8795, usercpu_time_millis: 77.82, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 76.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.6908, kappa: 0.3768, kb_relative_information_score: 420.9441, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6949, predictive_accuracy: 0.6945, prior_entropy: 0.9948, recall: 0.6945, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9266, scimark_benchmark: 1447.8862, usercpu_time_millis: 39.2, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 37.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7832, kappa: 0.5626, kb_relative_information_score: 1393.7504, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7836, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7954, scimark_benchmark: 1469.8672, usercpu_time_millis: 3405.53, usercpu_time_millis_testing: 2.66, usercpu_time_millis_training: 3402.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7837, kappa: 0.5635, kb_relative_information_score: 1491.2319, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7884, scimark_benchmark: 1492.6671, usercpu_time_millis: 4374.38, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 4372.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7253, kappa: 0.4459, kb_relative_information_score: 668.1435, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7253, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8863, scimark_benchmark: 1512.0547, usercpu_time_millis: 41.66, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 40.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7552, kappa: 0.506, kb_relative_information_score: 1294.2996, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8186, scimark_benchmark: 1341.0604, usercpu_time_millis: 4016.16, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 4013.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7915, kappa: 0.5794, kb_relative_information_score: 1416.6426, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7809, scimark_benchmark: 1476.448, usercpu_time_millis: 1489.39, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 1486.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7877, kappa: 0.5716, kb_relative_information_score: 1437.3874, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7882, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7885, scimark_benchmark: 1502.7434, usercpu_time_millis: 1790.39, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 1789.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7868, kappa: 0.5701, kb_relative_information_score: 1304.241, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7966, scimark_benchmark: 1463.653, usercpu_time_millis: 254.12, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 252.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7997, kappa: 0.5959, kb_relative_information_score: 1516.0233, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1342.6549, usercpu_time_millis: 1139.21, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 1137.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1085.5521, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8307, scimark_benchmark: 1387.7298, usercpu_time_millis: 552.6, usercpu_time_millis_testing: 2.07, usercpu_time_millis_training: 550.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7492, kappa: 0.4939, kb_relative_information_score: 861.0786, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7516, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8605, scimark_benchmark: 1494.3228, usercpu_time_millis: 283.63, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 281.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0857, 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: 1497.1889, usercpu_time_millis: 9.79, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 8.17,
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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: 0.8578, 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: 0.8321, 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: 0.8821, 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: 0.8309, 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: 0.8258, 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: 0.8721, f_measure: 0.8067, kappa: 0.6101, kb_relative_information_score: 1405.1158, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8072, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7746, scimark_benchmark: 1777.6754, usercpu_time_millis: 314.801, usercpu_time_millis_testing: 3.024, usercpu_time_millis_training: 311.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7985, kappa: 0.5936, kb_relative_information_score: 1552.337, mean_absolute_error: 0.308, 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: 0.6204, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7722, scimark_benchmark: 1941.3061, usercpu_time_millis: 298.925, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 298.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7727, kappa: 0.5413, kb_relative_information_score: 1245.8419, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7732, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8089, scimark_benchmark: 1737.6979, usercpu_time_millis: 290.682, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 288.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 873.1114, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8717, scimark_benchmark: 1708.4955, usercpu_time_millis: 292.314, usercpu_time_millis_testing: 1.578, usercpu_time_millis_training: 290.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8044, kappa: 0.6055, kb_relative_information_score: 1471.6587, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.77, scimark_benchmark: 1718.2223, usercpu_time_millis: 275.718, usercpu_time_millis_testing: 1.617, usercpu_time_millis_training: 274.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 889.8661, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.871, scimark_benchmark: 1739.4243, usercpu_time_millis: 267.165, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 265.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7738, kappa: 0.5437, kb_relative_information_score: 1357.4918, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8044, scimark_benchmark: 1096.8598, usercpu_time_millis: 784.181, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 782.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7957, kappa: 0.588, kb_relative_information_score: 1451.5031, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7782, scimark_benchmark: 1735.6638, usercpu_time_millis: 713.649, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 711.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1948, 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: 1739.8317, usercpu_time_millis: 8.937, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 7.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7392, kappa: 0.4743, kb_relative_information_score: 555.216, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7391, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9055, scimark_benchmark: 1754.1372, usercpu_time_millis: 11.497, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 10.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0009, 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: 1735.4702, usercpu_time_millis: 8.509, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 7.121,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1538, 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: 1702.9827, usercpu_time_millis: 6.391, usercpu_time_millis_testing: 1.024, usercpu_time_millis_training: 5.367,
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: 0.8762, 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: 0.872, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1595.2701, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621, scimark_benchmark: 1829.1442, usercpu_time_millis: 6630.079, usercpu_time_millis_testing: 4.445, usercpu_time_millis_training: 6625.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8065, kappa: 0.6098, kb_relative_information_score: 1683.1849, mean_absolute_error: 0.2895, 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: 0.5831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 1841.1108, usercpu_time_millis: 6301.436, usercpu_time_millis_testing: 2.756, usercpu_time_millis_training: 6298.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7775, kappa: 0.5509, kb_relative_information_score: 1379.0256, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8021, scimark_benchmark: 1831.2443, usercpu_time_millis: 5028.18, usercpu_time_millis_testing: 2.52, usercpu_time_millis_training: 5025.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1583.8392, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7629, scimark_benchmark: 2146.7114, usercpu_time_millis: 4947.1, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 4944.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8002, kappa: 0.597, kb_relative_information_score: 1549.0377, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1730.7559, usercpu_time_millis: 3173.771, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 3170.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7932, kappa: 0.5829, kb_relative_information_score: 1532.8938, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.777, scimark_benchmark: 1832.5979, usercpu_time_millis: 2786.637, usercpu_time_millis_testing: 1.405, usercpu_time_millis_training: 2785.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 1648.7033, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1837.6484, usercpu_time_millis: 2669.758, usercpu_time_millis_testing: 3.185, usercpu_time_millis_training: 2666.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7789, kappa: 0.5538, kb_relative_information_score: 1382.0267, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8018, scimark_benchmark: 1852.9259, usercpu_time_millis: 1393.444, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 1392.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.754, kappa: 0.5037, kb_relative_information_score: 1219.6108, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.832, scimark_benchmark: 1837.586, usercpu_time_millis: 1340.468, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 1338.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7935, kappa: 0.5834, kb_relative_information_score: 1431.9491, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 1838.236, usercpu_time_millis: 1101.916, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 1098.377,

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