DEVELOPMENT... OpenML
Run
23969

Run 23969

Task 29 (Supervised Classification) credit-approval Uploaded 29-06-2014 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)_I10
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
0.9228
Per class
F measure
0.8641
Per class
Kappa
0.7265
KB relative information score
484.9086
Mean absolute error
0.1471
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.867
Per class
Predictive accuracy
0.8638
Prior entropy
0.9913
Recall
0.8638
Per class
Relative absolute error
0.2977
Root mean prior squared error
0.497
Root mean squared error
0.349
Root relative squared error
0.7023
SciMark benchmark
948.7078[572.82121389070931016.0585376856843484.10363182779514910.53839766977511760.017229859821]