DEVELOPMENT... OpenML
Run
16650

Run 16650

Task 22 (Supervised Classification) mfeat-zernike Uploaded 04-06-2014 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)_I20
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
0.9429
Per class
F measure
0.7036
Per class
Kappa
0.6783
KB relative information score
1341.6181
Mean absolute error
0.0751
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
0.7008
Per class
Predictive accuracy
0.7105
Prior entropy
3.3219
Recall
0.7105
Per class
Relative absolute error
0.4171
Root mean prior squared error
0.3
Root mean squared error
0.2051
Root relative squared error
0.6836
SciMark benchmark
945.4503[565.76084051053911014.9881711071126480.4213690634573908.32989414330441757.7512505720342]