Run
10229143

Run 10229143

Task 6 (Supervised Classification) letter Uploaded 09-07-2019 by Yizheng Chen
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,random forestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(12)_copytrue
sklearn.impute.SimpleImputer(12)_fill_valuenull
sklearn.impute.SimpleImputer(12)_missing_valuesNaN
sklearn.impute.SimpleImputer(12)_strategy"median"
sklearn.impute.SimpleImputer(12)_verbose0
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}]
sklearn.ensemble.forest.RandomForestClassifier(55)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(55)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(55)_criterion"entropy"
sklearn.ensemble.forest.RandomForestClassifier(55)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(55)_max_features0.2
sklearn.ensemble.forest.RandomForestClassifier(55)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(55)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(55)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(55)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(55)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(55)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(55)_n_estimators16
sklearn.ensemble.forest.RandomForestClassifier(55)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(55)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(55)_random_state42
sklearn.ensemble.forest.RandomForestClassifier(55)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(55)_warm_startfalse

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
0.998 ± 0.0004
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9515 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9495 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9122 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0144 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9519 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9515 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.9515 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.195 ± 0.005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0686 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3569 ± 0.0069
Cross-validation details (10-fold Crossvalidation)