OpenML
123404

Run 123404

Task 58 (Supervised Classification) waveform-5000 Uploaded 19-12-2014 by Joaquin Vanschoren
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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)_I40
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
0.8883
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
2041.5333
Cross-validation details (10-fold Crossvalidation)
Build memory
713312116
Cross-validation details (10-fold Crossvalidation)
F measure
0.7131
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5669
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1949.2999
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3121
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7304
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7116
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10-fold Crossvalidation)
Recall
0.7116
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7023
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3675
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7796
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.8137