Run
416710

Run 416710

Task 4340 (Supervised Classification) fri_c1_250_50 Uploaded 07-05-2015 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)_I10
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
0.8488
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7887
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5741
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1318.6051
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2374
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4954
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7893
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7884
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9934
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7884
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4792
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4157
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8353
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
935.6052
UserCPU time millis
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10 times 10-fold Crossvalidation)