DEVELOPMENT... OpenML
Run
24405

Run 24405

Task 20 (Supervised Classification) mfeat-pixel Uploaded 07-07-2014 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)_I40
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
0.9856
Per class
F measure
0.966
Per class
Kappa
0.9622
KB relative information score
1930.1253
Mean absolute error
0.0068
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
0.9663
Per class
Predictive accuracy
0.966
Prior entropy
3.3219
Recall
0.966
Per class
Relative absolute error
0.0378
Root mean prior squared error
0.3
Root mean squared error
0.0814
Root relative squared error
0.2712
SciMark benchmark
932.5989[554.78390915119041002.8389490070151467.0473303259299908.95975824819551729.364580914293]