Category:Statistical classification
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Here is a list of articles in the Statistical classification category of the Computing portal that unifies foundations of mathematics and computations using computers.
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Subcategories
This category has the following 3 subcategories, out of 3 total.
A
C
L
Pages in category "Statistical classification"
The following 64 pages are in this category, out of 64 total.
- Statistical classification (computing)
A
- Averaged one-dependence estimators (computing)
- Automated essay scoring (computing)
B
- Bayes classifier (computing)
- Bayes error rate (computing)
- Bias–variance tradeoff (computing)
- Binary classification (computing)
C
- Calibration (statistics) (computing)
- Chi-square automatic interaction detection (computing)
- Classification rule (computing)
- Confusion matrix (computing)
- Cover's theorem (computing)
D
- Data classification (business intelligence) (computing)
- Decision boundary (computing)
E
- Evaluation of binary classifiers (computing)
F
- False positives and false negatives (computing)
- Firmographics (computing)
G
- Geodemographic segmentation (computing)
- Growth function (computing)
I
- Industrial market segmentation (computing)
K
- K-nearest neighbors algorithm (computing)
- Kernel Fisher discriminant analysis (computing)
- Kernel perceptron (computing)
- Klecka's tau (computing)
L
- Leakage (machine learning) (computing)
- Least squares support vector machine (computing)
- Least-squares support-vector machine (computing)
- Linear classifier (computing)
- Linear discriminant analysis (computing)
M
- Margin classifier (computing)
- Matthews correlation coefficient (biology)
- Mixture (probability) (computing)
- Multiclass classification (computing)
- Multiclass LDA (computing)
- Multinomial probit (computing)
- Multiple discriminant analysis (computing)
N
- Naive Bayes classifier (computing)
- Neighbourhood components analysis (computing)
- Net reclassification improvement (computing)
O
- One-class classification (computing)
- Optimal discriminant analysis (computing)
- Optimal discriminant analysis and classification tree analysis (computing)
P
- Platt scaling (computing)
- Predictive modelling (computing)
- Prior knowledge for pattern recognition (computing)
- Proaftn (computing)
- Probabilistic classification (computing)
- Probability matching (computing)
Q
- Quadratic classifier (computing)
R
- RCASE (computing)
- Receiver operating characteristic (computing)
- Recursive partitioning (computing)
S
- Sagacity segmentation (computing)
- Sensitivity and specificity (computing)
- Similarity measure (computing)
- Support vector machine (computing)
- Support-vector machine (computing)
T
- Total operating characteristic (computing)
- Typology (statistics) (computing)
V
- Values Modes (computing)
- Vapnik–Chervonenkis dimension (computing)
- Variable kernel density estimation (computing)
- VC dimension (computing)
Y
- Youden's J statistic (computing)