Run
421359

Run 421359

Task 3733 (Supervised Classification) fri_c2_500_10 Uploaded 08-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I160
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9608
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8797
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7538
Cross-validation details (10-fold Crossvalidation)
KB relative information score
373.4798
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1234
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4897
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8798
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.88
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9851
Cross-validation details (10-fold Crossvalidation)
Recall
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.252
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4948
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6445
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.1714
UserCPU time millis
350
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
350
Cross-validation details (10-fold Crossvalidation)