OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.9304, kappa: 0.6897, kb_relative_information_score: 1642.4034, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9354, predictive_accuracy: 0.9363, prior_entropy: 0.5848, recall: 0.9363, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6693, scimark_benchmark: 1266.6959, usercpu_time_millis: 5423.992, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 5423.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9707, kappa: 0.8743, kb_relative_information_score: 2502.2787, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4621, scimark_benchmark: 1273.909, usercpu_time_millis: 7204.458, usercpu_time_millis_testing: 3.28, usercpu_time_millis_training: 7201.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9479, kappa: 0.7696, kb_relative_information_score: 2107.924, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9531, predictive_accuracy: 0.9518, prior_entropy: 0.5848, recall: 0.9518, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.194, root_relative_squared_error: 0.559, scimark_benchmark: 1261.9869, usercpu_time_millis: 9964.811, usercpu_time_millis_testing: 5.432, usercpu_time_millis_training: 9959.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9478, kappa: 0.7712, kb_relative_information_score: 2032.4095, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9504, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.5838, scimark_benchmark: 1276.864, usercpu_time_millis: 4371.657, usercpu_time_millis_testing: 2.153, usercpu_time_millis_training: 4369.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 990.177, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.7998, scimark_benchmark: 1249.5698, usercpu_time_millis: 3577.769, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 3576.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.964, kappa: 0.8448, kb_relative_information_score: 2446.7222, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4853, scimark_benchmark: 1249.4946, usercpu_time_millis: 6996.239, usercpu_time_millis_testing: 3.567, usercpu_time_millis_training: 6992.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9566, kappa: 0.8102, kb_relative_information_score: 1956.7878, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5584, scimark_benchmark: 1252.7422, usercpu_time_millis: 6495.079, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 6494.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9284, kappa: 0.6759, kb_relative_information_score: 863.8256, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9395, predictive_accuracy: 0.9363, prior_entropy: 0.5848, recall: 0.9363, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6938, scimark_benchmark: 1269.7266, usercpu_time_millis: 3042.422, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 3041.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8706, kappa: 0.386, kb_relative_information_score: 907.8477, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9053, predictive_accuracy: 0.8969, prior_entropy: 0.5848, recall: 0.8969, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.7729, scimark_benchmark: 1268.3361, usercpu_time_millis: 2933.99, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 2932.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9315, kappa: 0.6943, kb_relative_information_score: 1743.0023, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9372, predictive_accuracy: 0.9375, prior_entropy: 0.5848, recall: 0.9375, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6452, scimark_benchmark: 1272.314, usercpu_time_millis: 6585.796, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 6584.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9648, kappa: 0.8476, kb_relative_information_score: 1936.8714, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5156, scimark_benchmark: 1229.4205, usercpu_time_millis: 1107.645, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 1106.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.7953, kb_relative_information_score: -5466.8303, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.6521, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.41, root_relative_squared_error: 1.1816, scimark_benchmark: 1273.4141, usercpu_time_millis: 2963.632, usercpu_time_millis_testing: 1.964, usercpu_time_millis_training: 2961.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9705, kappa: 0.8738, kb_relative_information_score: 2614.0538, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.4363, scimark_benchmark: 1250.5569, usercpu_time_millis: 5290.038, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 5289.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9427, kappa: 0.7453, kb_relative_information_score: 1926.8078, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9483, predictive_accuracy: 0.9472, prior_entropy: 0.5848, recall: 0.9472, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.207, root_relative_squared_error: 0.5967, scimark_benchmark: 1254.4475, usercpu_time_millis: 6983.319, usercpu_time_millis_testing: 3.324, usercpu_time_millis_training: 6979.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9712, kappa: 0.8772, kb_relative_information_score: 2553.4863, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4336, scimark_benchmark: 1258.999, usercpu_time_millis: 1517.328, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 1516.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9505, kappa: 0.7819, kb_relative_information_score: 1848.8833, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9549, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.5826, scimark_benchmark: 1259.064, usercpu_time_millis: 1780.204, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 1779.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.938, kappa: 0.7224, kb_relative_information_score: 1635.9633, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9454, predictive_accuracy: 0.9436, prior_entropy: 0.5848, recall: 0.9436, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6256, scimark_benchmark: 1272.4907, usercpu_time_millis: 6135.898, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 6135.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9119, kappa: 0.6027, kb_relative_information_score: 1400.6013, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.918, predictive_accuracy: 0.921, prior_entropy: 0.5848, recall: 0.921, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.7197, scimark_benchmark: 1273.7817, usercpu_time_millis: 529.578, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 528.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7953, kb_relative_information_score: 218.226, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.8753, scimark_benchmark: 1249.1671, usercpu_time_millis: 2052.967, usercpu_time_millis_testing: 1.509, usercpu_time_millis_training: 2051.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9528, kappa: 0.7931, kb_relative_information_score: 2125.2753, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9563, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.5544, scimark_benchmark: 1277.2624, usercpu_time_millis: 738.691, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 737.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9688, kappa: 0.8662, kb_relative_information_score: 2542.8711, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4507, scimark_benchmark: 1271.4191, usercpu_time_millis: 3529.803, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 3528.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.9116, kappa: 0.5994, kb_relative_information_score: 1207.2963, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9193, predictive_accuracy: 0.9213, prior_entropy: 0.5848, recall: 0.9213, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.7486, scimark_benchmark: 1269.6214, usercpu_time_millis: 14389.543, usercpu_time_millis_testing: 3.631, usercpu_time_millis_training: 14385.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9691, kappa: 0.8679, kb_relative_information_score: 2581.663, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.4482, scimark_benchmark: 1267.9353, usercpu_time_millis: 4612.636, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 4611.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8054, kappa: 0.0513, kb_relative_information_score: 622.4017, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8828, predictive_accuracy: 0.8643, prior_entropy: 0.5848, recall: 0.8643, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.8933, scimark_benchmark: 1273.4704, usercpu_time_millis: 1146.763, usercpu_time_millis_testing: 1.662, usercpu_time_millis_training: 1145.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9475, kappa: 0.7717, kb_relative_information_score: 2004.5118, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9491, predictive_accuracy: 0.9503, prior_entropy: 0.5848, recall: 0.9503, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5938, scimark_benchmark: 1277.9583, usercpu_time_millis: 6225.463, usercpu_time_millis_testing: 2.298, usercpu_time_millis_training: 6223.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.969, kappa: 0.8669, kb_relative_information_score: 2537.649, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4586, scimark_benchmark: 1279.2426, usercpu_time_millis: 1966.597, usercpu_time_millis_testing: 2.128, usercpu_time_millis_training: 1964.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.907, kappa: 0.5796, kb_relative_information_score: 1232.7911, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9132, predictive_accuracy: 0.917, prior_entropy: 0.5848, recall: 0.917, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.7555, scimark_benchmark: 1280.3404, usercpu_time_millis: 5270.203, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 5269.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9465, kappa: 0.766, kb_relative_information_score: 2043.3138, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9489, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.5844, scimark_benchmark: 1259.428, usercpu_time_millis: 8758.491, usercpu_time_millis_testing: 3.663, usercpu_time_millis_training: 8754.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9621, kappa: 0.8363, kb_relative_information_score: 2337.0746, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5062, scimark_benchmark: 1243.5345, usercpu_time_millis: 7086.549, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 7085.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9498, kappa: 0.7792, kb_relative_information_score: 2126.8464, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9534, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.191, root_relative_squared_error: 0.5506, scimark_benchmark: 1290.9158, usercpu_time_millis: 9932.595, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 9931.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9688, kappa: 0.8662, kb_relative_information_score: 2553.4375, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4484, scimark_benchmark: 1259.9994, usercpu_time_millis: 11084.493, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 11083.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.9077, kappa: 0.5744, kb_relative_information_score: 847.1112, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9248, predictive_accuracy: 0.9207, prior_entropy: 0.5848, recall: 0.9207, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8118, scimark_benchmark: 1288.6168, usercpu_time_millis: 7488.298, usercpu_time_millis_testing: 2.911, usercpu_time_millis_training: 7485.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9705, kappa: 0.874, kb_relative_information_score: 2570.2771, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.971, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4588, scimark_benchmark: 1254.0467, usercpu_time_millis: 7333.524, usercpu_time_millis_testing: 3.189, usercpu_time_millis_training: 7330.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9695, kappa: 0.8694, kb_relative_information_score: 2606.4236, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.4359, scimark_benchmark: 1266.453, usercpu_time_millis: 1784.526, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 1783.444,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9634, kappa: 0.8446, kb_relative_information_score: 2484.8053, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.4915, scimark_benchmark: 1303.2587, usercpu_time_millis: 3502.093, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 3500.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.8592, kappa: 0.3276, kb_relative_information_score: -3967.6937, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9006, predictive_accuracy: 0.8905, prior_entropy: 0.5848, recall: 0.8905, relative_absolute_error: 1.4292, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3662, root_relative_squared_error: 1.0555, scimark_benchmark: 1290.935, usercpu_time_millis: 294.704, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 293.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.9055, kappa: 0.5707, kb_relative_information_score: 970.4418, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9133, predictive_accuracy: 0.9164, prior_entropy: 0.5848, recall: 0.9164, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.7908, scimark_benchmark: 1300.7681, usercpu_time_millis: 1614.544, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 1613.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9289, kappa: 0.6822, kb_relative_information_score: 1718.763, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.5848, recall: 0.9353, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.224, root_relative_squared_error: 0.6455, scimark_benchmark: 1304.0707, usercpu_time_millis: 9379.736, usercpu_time_millis_testing: 3.579, usercpu_time_millis_training: 9376.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1038.1945, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.7941, scimark_benchmark: 1281.9194, usercpu_time_millis: 9931.866, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 9931.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.909, kappa: 0.5816, kb_relative_information_score: 748.1475, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9243, predictive_accuracy: 0.9213, prior_entropy: 0.5848, recall: 0.9213, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.8169, scimark_benchmark: 1279.7158, usercpu_time_millis: 1538.341, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 1536.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8557, kappa: 0.3098, kb_relative_information_score: -4747.3287, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8976, predictive_accuracy: 0.8884, prior_entropy: 0.5848, recall: 0.8884, relative_absolute_error: 1.5171, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0795, scimark_benchmark: 1298.6462, usercpu_time_millis: 1672.464, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 1671.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.9148, kappa: 0.6126, kb_relative_information_score: 1034.7606, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9249, predictive_accuracy: 0.9247, prior_entropy: 0.5848, recall: 0.9247, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.7621, scimark_benchmark: 1284.0529, usercpu_time_millis: 2435.776, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 2434.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7953, kb_relative_information_score: -3069.8261, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.2907, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3593, root_relative_squared_error: 1.0355, scimark_benchmark: 1300.47, usercpu_time_millis: 1606.965, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 1605.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9481, kappa: 0.7706, kb_relative_information_score: 1971.6764, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9528, predictive_accuracy: 0.9518, prior_entropy: 0.5848, recall: 0.9518, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5831, scimark_benchmark: 1274.6786, usercpu_time_millis: 7029.716, usercpu_time_millis_testing: 4.631, usercpu_time_millis_training: 7025.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9709, kappa: 0.8776, kb_relative_information_score: 2669.4221, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4499, scimark_benchmark: 1279.7394, usercpu_time_millis: 9537.58, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 9536.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.9248, kappa: 0.6645, kb_relative_information_score: 1377.634, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9295, predictive_accuracy: 0.9314, prior_entropy: 0.5848, recall: 0.9314, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.7106, scimark_benchmark: 1272.7806, usercpu_time_millis: 5527.237, usercpu_time_millis_testing: 2.086, usercpu_time_millis_training: 5525.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9569, kappa: 0.8125, kb_relative_information_score: 2252.6969, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.5219, scimark_benchmark: 1284.055, usercpu_time_millis: 2365.527, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 2364.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7953, kb_relative_information_score: 186.5324, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.8959, scimark_benchmark: 1279.9224, usercpu_time_millis: 1018.622, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 1017.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7965, kappa: 0.0062, kb_relative_information_score: -598.7288, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.81, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9052, scimark_benchmark: 1300.0657, usercpu_time_millis: 456.05, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 455.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9666, kappa: 0.8561, kb_relative_information_score: 2500.9176, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4722, scimark_benchmark: 1299.5116, usercpu_time_millis: 3571.208, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 3568.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9561, kappa: 0.8096, kb_relative_information_score: 2218.4926, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9578, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.5459, scimark_benchmark: 1307.6928, usercpu_time_millis: 1091.917, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 1090.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9538, kappa: 0.7972, kb_relative_information_score: 1865.3602, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5673, scimark_benchmark: 1308.9326, usercpu_time_millis: 3408.815, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 3407.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9466, kappa: 0.7638, kb_relative_information_score: 2026.5341, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9516, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5794, scimark_benchmark: 1289.9971, usercpu_time_millis: 5313.931, usercpu_time_millis_testing: 2.447, usercpu_time_millis_training: 5311.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.9088, kappa: 0.5885, kb_relative_information_score: 1270.5115, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9144, predictive_accuracy: 0.9183, prior_entropy: 0.5848, recall: 0.9183, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.748, scimark_benchmark: 1281.7901, usercpu_time_millis: 583.752, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 582.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9419, kappa: 0.7433, kb_relative_information_score: 1880.2124, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.6117, scimark_benchmark: 1281.9742, usercpu_time_millis: 928.818, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 927.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9688, kappa: 0.8662, kb_relative_information_score: 2538.9544, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.4519, scimark_benchmark: 1304.7252, usercpu_time_millis: 6094.765, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 6093.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9273, kappa: 0.6741, kb_relative_information_score: 1576.9497, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9338, predictive_accuracy: 0.9341, prior_entropy: 0.5848, recall: 0.9341, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.6762, scimark_benchmark: 1273.1027, usercpu_time_millis: 1023.733, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 1022.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.9221, kappa: 0.6515, kb_relative_information_score: 1242.0703, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9273, predictive_accuracy: 0.9292, prior_entropy: 0.5848, recall: 0.9292, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7275, scimark_benchmark: 1280.6473, usercpu_time_millis: 6356.847, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 6354.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9773, kappa: 0.9038, kb_relative_information_score: 2716.7946, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4094, scimark_benchmark: 1274.0206, usercpu_time_millis: 17133.54, usercpu_time_millis_testing: 4.605, usercpu_time_millis_training: 17128.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9148, kappa: 0.6092, kb_relative_information_score: 1592.1346, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9299, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.672, scimark_benchmark: 1273.8944, usercpu_time_millis: 2971.505, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 2969.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9733, kappa: 0.8869, kb_relative_information_score: 2680.0979, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4276, scimark_benchmark: 1302.9064, usercpu_time_millis: 6522.979, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 6522.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.953, kappa: 0.7944, kb_relative_information_score: 2186.1606, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.541, scimark_benchmark: 1295.9775, usercpu_time_millis: 4605.879, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 4604.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9736, kappa: 0.8872, kb_relative_information_score: 2542.4891, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4388, scimark_benchmark: 1275.357, usercpu_time_millis: 8485.305, usercpu_time_millis_testing: 2.853, usercpu_time_millis_training: 8482.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9592, kappa: 0.8241, kb_relative_information_score: 2316.5106, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.522, scimark_benchmark: 1297.049, usercpu_time_millis: 3246.504, usercpu_time_millis_testing: 2.016, usercpu_time_millis_training: 3244.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9459, kappa: 0.7604, kb_relative_information_score: 1967.0249, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.951, predictive_accuracy: 0.95, prior_entropy: 0.5848, recall: 0.95, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5794, scimark_benchmark: 1279.3323, usercpu_time_millis: 7128.863, usercpu_time_millis_testing: 2.885, usercpu_time_millis_training: 7125.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9117, kappa: 0.6016, kb_relative_information_score: 1390.569, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9175, predictive_accuracy: 0.9207, prior_entropy: 0.5848, recall: 0.9207, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7215, scimark_benchmark: 1302.2158, usercpu_time_millis: 5184.478, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 5183.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9597, kappa: 0.8246, kb_relative_information_score: 2285.788, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9623, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5081, scimark_benchmark: 1295.3353, usercpu_time_millis: 6686.017, usercpu_time_millis_testing: 2.113, usercpu_time_millis_training: 6683.904,

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