DEVELOPMENT... OpenML
Run
123976

Run 123976

Task 1817 (Supervised Classification) vehicle Uploaded 22-12-2014 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)_I20
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
0.7686
Per class
Build CPU time
3.3358
Build memory
607255802.4
F measure
0.461
Per class
Kappa
0.3228
KB relative information score
932.0505
Mean absolute error
0.3273
Mean prior absolute error
0.3748
Number of instances
4230
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5655
Per class
Predictive accuracy
0.4884
Prior entropy
1.9991
Recall
0.4884
Per class
Relative absolute error
0.873
Root mean prior squared error
0.4329
Root mean squared error
0.3977
Root relative squared error
0.9187
SciMark benchmark
945.5885