OpenML
205900

Run 205900

Task 4389 (Supervised Classification) delta_elevators Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(12)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_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I20
weka.AdaBoostM1_DecisionStump(12)_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.

22 Evaluation measures

Area under ROC curve
0.9386
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.874
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7481
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
62025.6996
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1861
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
95170
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8742
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.874
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.874
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3723
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3078
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6157
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
930.5999
UserCPU time millis
330
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
320
Cross-validation details (10 times 10-fold Crossvalidation)