Machine Learning & Deep Learning Models Comparison

This repository shows the comparison of different ML and DL models trained and tested on two existing plant datasets (PlantVillage & PlantDoc).

Results

Models	PlantVillage	PlantDoc
Convolutional Neural Network	97.00	49.00
Support Vector Machine	88.78	34.24
XGBoost	87.50	33.33
Random Forest	80.43	34.39
Logistic Regression	72.93	34.39
Multi-Layer Perceptron	71.79	24.39
K-Nearest Neighbor	70.00	22.27
Naïve Bayes	62.93	38.93
Decision Tree	62.64	27.42
AdaBoost	62.50	31.96

Special thanks to MKYS, WYH, GYX and SHM.

Dataset Sources:

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
.gitignore		.gitignore
LICENSE		LICENSE
MLP.ipynb		MLP.ipynb
README.md		README.md
adaboost.ipynb		adaboost.ipynb
cnn.ipynb		cnn.ipynb
dt.ipynb		dt.ipynb
knn.ipynb		knn.ipynb
lr.ipynb		lr.ipynb
nb.ipynb		nb.ipynb
prepare.ipynb		prepare.ipynb
rf.ipynb		rf.ipynb
svm.ipynb		svm.ipynb
xgboost.ipynb		xgboost.ipynb