Run
1841512

Run 1841512

Task 125966 (Supervised Classification) SpeedDating Uploaded 28-11-2016 by Kevin Chang
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Flow

weka.ClassificationViaRegression_RandomForest(1)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(9)_I350
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.ClassificationViaRegression_RandomForest(1)_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
0.8653
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8164
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2447
Cross-validation details (10-fold Crossvalidation)
KB relative information score
981.1202
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2201
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
0.8442
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8559
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8559
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7997
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3173
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8554
Cross-validation details (10-fold Crossvalidation)