Run
1842814

Run 1842814

Task 125966 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Laurence Keijzer
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ClassificationViaRegression_RandomForest(2)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.RandomForest(11)_P100
weka.RandomForest(11)_I100
weka.RandomForest(11)_num-slots1
weka.RandomForest(11)_K0
weka.RandomForest(11)_M1.0
weka.RandomForest(11)_V0.001
weka.RandomForest(11)_S1
weka.ClassificationViaRegression_RandomForest(2)_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
0.8599
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8169
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2465
Cross-validation details (10-fold Crossvalidation)
KB relative information score
964.0553
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2199
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8466
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8566
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8566
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.799
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3181
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8575
Cross-validation details (10-fold Crossvalidation)