DEVELOPMENT... OpenML
Run
123091

Run 123091

Task 3693 (Supervised Classification) fri_c4_100_100 Uploaded 17-12-2014 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)_I80
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
0.7559
Per class
Build CPU time
41.79
Build memory
853422436.8
F measure
0.7602
Per class
Kappa
0.5206
KB relative information score
50.6566
Mean absolute error
0.2467
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7628
Per class
Predictive accuracy
0.76
Prior entropy
0.9975
Recall
0.76
Per class
Relative absolute error
0.4951
Root mean prior squared error
0.4991
Root mean squared error
0.4781
Root relative squared error
0.958
SciMark benchmark
943.8134