DEVELOPMENT... OpenML
Run
124513

Run 124513

Task 270 (Supervised Classification) glass 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
0.8561
Per class
Build CPU time
0.089
Build memory
52353544
F measure
0.2496
Per class
Kappa
0.2256
KB relative information score
23.8553
Mean absolute error
0.1706
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1788
Per class
Predictive accuracy
0.4143
Prior entropy
2.2315
Recall
0.4143
Per class
Relative absolute error
0.8023
Root mean prior squared error
0.3261
Root mean squared error
0.2945
Root relative squared error
0.9031
SciMark benchmark
927.3354