Run
1672862

Run 1672862

Task 2074 (Supervised Classification) satimage Uploaded 21-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomForest(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_P100
weka.Bagging_RandomForest(9)_S1
weka.Bagging_RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_I10
weka.Bagging_RandomForest(9)_Wweka.classifiers.trees.RandomForest

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.9922
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9124
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8943
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5516.3074
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0556
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2701
Cross-validation details (10-fold Crossvalidation)
Number of instances
6430
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9125
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9146
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4836
Cross-validation details (10-fold Crossvalidation)
Recall
0.9146
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2059
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3675
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1492
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4059
Cross-validation details (10-fold Crossvalidation)