DEVELOPMENT... OpenML
Run
24917

Run 24917

Task 18 (Supervised Classification) mfeat-morphological Uploaded 19-07-2014 by Felicia West
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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)_I80
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
0.9533
Per class
F measure
0.723
Per class
Kappa
0.6983
KB relative information score
1396.8006
Mean absolute error
0.0778
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7266
Per class
Predictive accuracy
0.7285
Prior entropy
3.3219
Recall
0.7285
Per class
Relative absolute error
0.4321
Root mean prior squared error
0.3
Root mean squared error
0.1909
Root relative squared error
0.6362
SciMark benchmark
918.8297[546.6125504044643978.8950928435889470.52664044102374885.02359335741071713.0907764790145]