Run 6067536

Task 12 (Supervised Classification) mfeat-factors Uploaded 05-08-2017 by Jeroen van Hoof
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Flow

optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.c lasses.SVC)(2)	Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(10)_C	1.0
sklearn.svm.classes.SVC(10)_cache_size	200
sklearn.svm.classes.SVC(10)_class_weight	null
sklearn.svm.classes.SVC(10)_coef0	0.0
sklearn.svm.classes.SVC(10)_decision_function_shape	null
sklearn.svm.classes.SVC(10)_degree	3
sklearn.svm.classes.SVC(10)_gamma	"auto"
sklearn.svm.classes.SVC(10)_kernel	"rbf"
sklearn.svm.classes.SVC(10)_max_iter	-1
sklearn.svm.classes.SVC(10)_probability	true
sklearn.svm.classes.SVC(10)_random_state	3
sklearn.svm.classes.SVC(10)_shrinking	true
sklearn.svm.classes.SVC(10)_tol	0.001
sklearn.svm.classes.SVC(10)_verbose	false
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_draw_samples	10
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_encoded_params	{"@preprocessor": [{"params": {"copy": true, "with_mean": true, "with_std": true}, "source": "sklearn.preprocessing.data.StandardScaler"}, {"params": {"copy": true, "quantile_range": [25.0, 75.0], "with_centering": true, "with_scaling": true}, "source": "sklearn.preprocessing.data.RobustScaler"}], "C": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0, 2.0, 4.0, 8.0, 16.0, 32.0, 64.0, 128.0, 256.0, 512.0, 1024.0], "gamma": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0], "kernel": ["linear", "poly", "rbf"]}
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_inner_cv	10
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_max_eval_time	120
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_n_iter	100
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_random_search	false
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_scoring	"accuracy"
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_timeout_score	0
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_use_ei_per_second	false
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(2)_verbose	true