Run
208114

Run 208114

Task 3638 (Supervised Classification) quake Uploaded 27-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I80
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
0.5191
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4612
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0116
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6.7201
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4925
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
2178
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
0.5193
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5491
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.5491
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.997
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4972
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0006
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
918.0213
UserCPU time millis
280
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
270
Cross-validation details (10-fold Crossvalidation)