Interactive Machine Learning Model
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Model Description
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Select Model:
KNN
SVM
K-means
Decision Tree
Random Forest
Logistic Regression
Number of Neighbors (k):
5
Weights:
Distance
Uniform
Metric:
Minkowski
Euclidean
Manhattan
Chebyshev
SVM C:
1
SVM Kernel:
Linear
Polynomial
RBF
Sigmoid
Polynomial Degree:
3
RBF Sigma (gamma):
0.1
Number of Clusters (k):
3
Iteration Steps:
1
Max Depth:
5
Number of Estimators (n):
10
Max Depth:
5
Logistic Regression C:
1
Iteration Steps:
1
Randomize Data
Normal Distribution
Uniform Distribution
Gaussian Distribution
Exponential Distribution