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.idea
.idea
 
 
Data
Data
 
 
SoundTrack
SoundTrack
 
 
model
model
 
 
result
result
 
 
CreateData.py
CreateData.py
 
 
CreateDataFull.py
CreateDataFull.py
 
 
CreateSegmentData.py
CreateSegmentData.py
 
 
CreateSegmentData3s.py
CreateSegmentData3s.py
 
 
ES_A Pilgrim's Tale - Lama House.wav
ES_A Pilgrim's Tale - Lama House.wav
 
 
FIndIncoding.py
FIndIncoding.py
 
 
Graph.py
Graph.py
 
 
KNN_AV.py
KNN_AV.py
 
 
KNN_AV2.py
KNN_AV2.py
 
 
KNN_AV3.py
KNN_AV3.py
 
 
KNN_AV4.py
KNN_AV4.py
 
 
KNN_KPCA_Model.py
KNN_KPCA_Model.py
 
 
KNN_Model.py
KNN_Model.py
 
 
KNN_PCA_Model.py
KNN_PCA_Model.py
 
 
KNN_PerformanceTest.py
KNN_PerformanceTest.py
 
 
K_Cluster.py
K_Cluster.py
 
 
LogisticRegression.py
LogisticRegression.py
 
 
Logistic_PerformanceTest.py
Logistic_PerformanceTest.py
 
 
MULTI.txt
MULTI.txt
 
 
MULTI2.txt
MULTI2.txt
 
 
PCA_PerformanceTest.py
PCA_PerformanceTest.py
 
 
README.md
README.md
 
 
SVM_AV.py
SVM_AV.py
 
 
SVM_CS_Model.py
SVM_CS_Model.py
 
 
SVM_Default_Model.py
SVM_Default_Model.py
 
 
SVM_KPCA_Model.py
SVM_KPCA_Model.py
 
 
SVM_Model.py
SVM_Model.py
 
 
SVM_Multi_Model.py
SVM_Multi_Model.py
 
 
SVM_PCA.py
SVM_PCA.py
 
 
SVM_PCA_Model.py
SVM_PCA_Model.py
 
 
Xgboost.py
Xgboost.py
 
 
create_dataset.py
create_dataset.py
 
 
features_30_sec.csv
features_30_sec.csv
 
 
features_30_sec_1.csv
features_30_sec_1.csv
 
 
features_30_sec_2.csv
features_30_sec_2.csv
 
 
features_3_sec.csv
features_3_sec.csv
 
 
heatmap.py
heatmap.py
 
 
knn_model.pkl
knn_model.pkl
 
 
kpca_model.pkl
kpca_model.pkl
 
 
mean.txt
mean.txt
 
 
mean_logistic.txt
mean_logistic.txt
 
 
normalized_feature_test.csv
normalized_feature_test.csv
 
 
normalized_feature_test2.csv
normalized_feature_test2.csv
 
 
predictions.txt
predictions.txt
 
 
std.txt
std.txt
 
 
std_logistic.txt
std_logistic.txt
 
 
svm_model.pkl
svm_model.pkl
 
 
svmp_model.pkl
svmp_model.pkl
 
 
your_file_name.xlsx
your_file_name.xlsx
 
 

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DS_Music

0 : 블루스 1 : 클래식 2 : 컨트리 3 : 디스코 4 : 힙합 5 : 재즈 6 : 메탈 7 : 팝 8 : 레게 9 : 락

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