Run
23441

Run 23441

Task 21 (Supervised Classification) car Uploaded 25-06-2014 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(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I10
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8721
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5768
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
367.9153
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1572
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.4903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.7002
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6865
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3155
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9332
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
855.5651[560.6688329969002967.5897507516569432.08928343177854787.69229144034331529.7852760385204]