DEVELOPMENT... OpenML
Run
124882

Run 124882

Task 3771 (Supervised Classification) chscase_census3 Uploaded 24-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LWL_DecisionStump(2)_I10
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.4308
Per class
Build CPU time
7.3799
Build memory
25402028.8
F measure
0.4359
Per class
Kappa
-0.1302
KB relative information score
-27.7619
Mean absolute error
0.5292
Mean prior absolute error
0.4992
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4354
Per class
Predictive accuracy
0.4375
Prior entropy
0.9989
Recall
0.4375
Per class
Relative absolute error
1.0601
Root mean prior squared error
0.4996
Root mean squared error
0.5922
Root relative squared error
1.1853
SciMark benchmark
929.5397