DEVELOPMENT... OpenML
Run
20046

Run 20046

Task 22 (Supervised Classification) mfeat-zernike Uploaded 18-06-2014 by Felicia West
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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)_I160
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
0.9457
Per class
F measure
0.6803
Per class
Kappa
0.655
KB relative information score
753.3716
Mean absolute error
0.1466
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
0.6776
Per class
Predictive accuracy
0.6895
Prior entropy
3.3219
Recall
0.6895
Per class
Relative absolute error
0.8144
Root mean prior squared error
0.3
Root mean squared error
0.2495
Root relative squared error
0.8318
SciMark benchmark
945.8565[567.04832706770641013.3868112175512484.3219757802961900.52902369517021763.996579689319]