DEVELOPMENT... OpenML
Run
24905

Run 24905

Task 21 (Supervised Classification) car Uploaded 19-07-2014 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
0.9059
Per class
F measure
0.6723
Per class
Kappa
0.26
KB relative information score
436.903
Mean absolute error
0.1946
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6405
Per class
Predictive accuracy
0.7413
Prior entropy
1.2099
Recall
0.7413
Per class
Relative absolute error
0.8497
Root mean prior squared error
0.3381
Root mean squared error
0.274
Root relative squared error
0.8104
SciMark benchmark
945.3904[564.66186886149841014.9881711071126484.1035797902428904.8809625230991758.3172656914378]