Run
9199841

Run 9199841

Task 167120 (Supervised Classification) numerai28.6 Uploaded 03-05-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(20)_axis0
sklearn.preprocessing.imputation.Imputer(20)_copytrue
sklearn.preprocessing.imputation.Imputer(20)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(20)_strategy"median"
sklearn.preprocessing.imputation.Imputer(20)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(22)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(22)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(22)_max_depth1
sklearn.tree.tree.DecisionTreeClassifier(22)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(22)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(22)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(22)_random_state1
sklearn.tree.tree.DecisionTreeClassifier(22)_splitter"best"
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_memorynull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.5119 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4903 ± 0.0159
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0238 ± 0.0095
Cross-validation details (10-fold Crossvalidation)
KB relative information score
119.6988 ± 4.3883
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4995 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
96320
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5146 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5141 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9999
Cross-validation details (10-fold Crossvalidation)
Recall
0.5141 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9991 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4998 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9997 ± 0.0003
Cross-validation details (10-fold Crossvalidation)