DEVELOPMENT... OpenML
Run
20649

Run 20649

Task 22 (Supervised Classification) mfeat-zernike Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I80
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9066
Per class
F measure
0.3497
Per class
Kappa
0.3939
KB relative information score
546.37
Mean absolute error
0.1608
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
0.4746
Per class
Predictive accuracy
0.4545
Prior entropy
3.3219
Recall
0.4545
Per class
Relative absolute error
0.8936
Root mean prior squared error
0.3
Root mean squared error
0.2784
Root relative squared error
0.9281
SciMark benchmark
945.2509[556.02190816153571014.4538012229739483.0147548568529909.90626928802961762.8577294742872]