Run
15693

Run 15693

Task 9 (Supervised Classification) autos Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LADTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LADTree(1)_B10
weka.MultiBoostAB_LADTree(1)_C3
weka.MultiBoostAB_LADTree(1)_I20
weka.MultiBoostAB_LADTree(1)_P100
weka.MultiBoostAB_LADTree(1)_S1
weka.MultiBoostAB_LADTree(1)_Wweka.classifiers.trees.LADTree

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
0.9356
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7765
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7128
Cross-validation details (10-fold Crossvalidation)
KB relative information score
143.9765
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.069
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.783
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7805
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.7805
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3121
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2413
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7274
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.1723[557.97846463271251014.9881073746852483.2321174670136911.80521739130441762.8577294742872]