DEVELOPMENT... OpenML
Run
21868

Run 21868

Task 22 (Supervised Classification) mfeat-zernike Uploaded 20-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I80
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9385
Per class
F measure
0.8088
Per class
Kappa
0.7856
KB relative information score
1606.998
Mean absolute error
0.0384
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
0.8107
Per class
Predictive accuracy
0.807
Prior entropy
3.3219
Recall
0.807
Per class
Relative absolute error
0.2136
Root mean prior squared error
0.3
Root mean squared error
0.192
Root relative squared error
0.6402
SciMark benchmark
928.2674[545.4160928602774995.0709712770484471.97440834681885896.21881802907471732.6565416426442]