Run
65525

Run 65525

Task 248 (Supervised Classification) mfeat-morphological Uploaded 21-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I160
weka.Bagging_MultilayerPerceptron(2)_P100
weka.Bagging_MultilayerPerceptron(2)_S1
weka.Bagging_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(2)_num-slots1
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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
0.9674
Per class
Cross-validation details (33% Holdout set)
Build CPU time
716.775
Cross-validation details (33% Holdout set)
Build memory
1335100528
Cross-validation details (33% Holdout set)
F measure
0.7638
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7388
Cross-validation details (33% Holdout set)
KB relative information score
518.698
Cross-validation details (33% Holdout set)
Mean absolute error
0.0595
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
660
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7653
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7652
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.7652
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3306
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.1728
Cross-validation details (33% Holdout set)
Root relative squared error
0.5759
Cross-validation details (33% Holdout set)
SciMark benchmark
945.5575