DEVELOPMENT... OpenML
Run
18624

Run 18624

Task 12 (Supervised Classification) mfeat-factors Uploaded 11-06-2014 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)_I40
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
0.9826
Per class
F measure
0.9106
Per class
Kappa
0.9006
KB relative information score
1754.0569
Mean absolute error
0.0318
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
0.9118
Per class
Predictive accuracy
0.9105
Prior entropy
3.3219
Recall
0.9105
Per class
Relative absolute error
0.1767
Root mean prior squared error
0.3
Root mean squared error
0.1254
Root relative squared error
0.4179
SciMark benchmark
940.9803[562.29550002336991008.8769851701059473.84898880647887908.32989414330441751.5501218345944]