DEVELOPMENT... OpenML
Run
25029

Run 25029

Task 20 (Supervised Classification) mfeat-pixel Uploaded 14-08-2014 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)_I160
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
0.9822
Per class
F measure
0.9655
Per class
Kappa
0.9617
KB relative information score
1927.7466
Mean absolute error
0.0069
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
0.9657
Per class
Predictive accuracy
0.9655
Prior entropy
3.3219
Recall
0.9655
Per class
Relative absolute error
0.0384
Root mean prior squared error
0.3
Root mean squared error
0.0831
Root relative squared error
0.2769
SciMark benchmark
860.7367[531.2947438481441962.0344422444904458.4721693006554858.08181430993741493.8000897678087]

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