Run
16038

Run 16038

Task 2075 (Supervised Classification) abalone Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I40
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.7089
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2434
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1579
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1024.0787
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0556
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.2363
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2583
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2583
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8999
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1738
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9889
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.12[561.39059440769631015.2555353338006480.4213690634573910.53832226537881767.9939646936223]