Run
1842847

Run 1842847

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


Flow

weka.LogitBoost_RandomTree(3)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.RandomTree(12)_K0
weka.RandomTree(12)_M1.0
weka.RandomTree(12)_V0.001
weka.RandomTree(12)_S1
weka.LogitBoost_RandomTree(3)_P100
weka.LogitBoost_RandomTree(3)_L-1.7976931348623157E308
weka.LogitBoost_RandomTree(3)_H1.0
weka.LogitBoost_RandomTree(3)_Z3.0
weka.LogitBoost_RandomTree(3)_O1
weka.LogitBoost_RandomTree(3)_E1
weka.LogitBoost_RandomTree(3)_S1
weka.LogitBoost_RandomTree(3)_I50
weka.LogitBoost_RandomTree(3)_Wweka.classifiers.trees.RandomTree
weka.LogitBoost_RandomTree(3)_batch-size

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
0.7608
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8401
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.369
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3085.6532
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.143
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
0.8388
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8578
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8578
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5195
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3693
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9957
Cross-validation details (10-fold Crossvalidation)