Run
1841159

Run 1841159

Task 125966 (Supervised Classification) SpeedDating Uploaded 26-11-2016 by Adriaan Vast
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomForest(9)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(9)_I239
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_depth13
weka.RandomForest(9)_num-slots1

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
0.8639
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8149
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2377
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1017.7124
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2185
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
0.8433
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8552
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8552
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.794
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8561
Cross-validation details (10-fold Crossvalidation)