# Hemisphere Classification on Mona Lisa Source: [Hemisphere Classification on Mona Lisa]() Collection index: [llms.txt]() Data updated: 2026-04-01T07:52:22.865Z Evaluation of Hemisphere Classification performance on the Mona Lisa dataset, reporting metrics including Accuracy, F1 Score, and ROC-AUC. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Hemisphere Classification | | Dataset (including any stated split) | Mona Lisa | | Metric | ROC-AUC | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 35 of 35 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [ROC-AUC](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [Specificity](): Higher is better; unit: PERCENT. - [Sensitivity](): Higher is better; unit: PERCENT. - [Cohen's Kappa](): Higher is better; unit: SCALAR. ## Recorded results | Method | ROC-AUC | Result date | Report paper | | --- | --- | --- | --- | | Random Forest | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Random Forest | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Random Forest | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Random Forest | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Random Forest | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (RBF) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (RBF) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (RBF) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (RBF) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (RBF) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (Linear) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (Linear) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (Linear) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (Linear) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | SVM (Linear) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Deep Neural Network (RMSprop) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Deep Neural Network (RMSprop) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Deep Neural Network (RMSprop) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Deep Neural Network (RMSprop) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Deep Neural Network (RMSprop) | 100 | Not recorded | 68fa7b6c1e209131cea88598 | | Small machine learning model | 99.15 | Not recorded | 68fa7b6c1e209131cea88598 | | Big machine learning model | 98.76 | Not recorded | 68fa7b6c1e209131cea88598 | | Big machine learning model | 98.72 | Not recorded | 68fa7b6c1e209131cea88598 | | Small machine learning model | 98.64 | Not recorded | 68fa7b6c1e209131cea88598 | | Small machine learning model | 97.9 | Not recorded | 68fa7b6c1e209131cea88598 | | Small machine learning model | 97.09 | Not recorded | 68fa7b6c1e209131cea88598 | | Convolutional Neural Network (CNN) | 96.72 | Not recorded | 68fa7b6c1e209131cea88598 | | Small machine learning model | 96.6 | Not recorded | 68fa7b6c1e209131cea88598 | | Big machine learning model | 96.53 | Not recorded | 68fa7b6c1e209131cea88598 | | Big machine learning model | 95.29 | Not recorded | 68fa7b6c1e209131cea88598 | | Big machine learning model | 94.39 | Not recorded | 68fa7b6c1e209131cea88598 | | Convolutional Neural Network (CNN) | 93.69 | Not recorded | 68fa7b6c1e209131cea88598 | | Convolutional Neural Network (CNN) | 89.72 | Not recorded | 68fa7b6c1e209131cea88598 | | Convolutional Neural Network (CNN) | 89.6 | Not recorded | 68fa7b6c1e209131cea88598 | | Convolutional Neural Network (CNN) | 88.91 | Not recorded | 68fa7b6c1e209131cea88598 | ### Random Forest ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6451a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Delta"}. This record does not assert independent reproduction. ### Random Forest ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6451b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Theta"}. This record does not assert independent reproduction. ### Random Forest ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6451c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Alpha"}. This record does not assert independent reproduction. ### Random Forest ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6451d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Beta"}. This record does not assert independent reproduction. ### Random Forest ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6451e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Gamma"}. This record does not assert independent reproduction. ### SVM (RBF) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6451f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Delta"}. This record does not assert independent reproduction. ### SVM (RBF) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64520. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Theta"}. This record does not assert independent reproduction. ### SVM (RBF) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64521. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Alpha"}. This record does not assert independent reproduction. ### SVM (RBF) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64522. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Beta"}. This record does not assert independent reproduction. ### SVM (RBF) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64523. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Gamma"}. This record does not assert independent reproduction. ### SVM (Linear) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64524. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Delta"}. This record does not assert independent reproduction. ### SVM (Linear) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64525. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Theta"}. This record does not assert independent reproduction. ### SVM (Linear) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64526. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Alpha"}. This record does not assert independent reproduction. ### SVM (Linear) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64527. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Beta"}. This record does not assert independent reproduction. ### SVM (Linear) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64528. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Gamma"}. This record does not assert independent reproduction. ### Deep Neural Network (RMSprop) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b64529. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Delta"}. This record does not assert independent reproduction. ### Deep Neural Network (RMSprop) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6452a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Theta"}. This record does not assert independent reproduction. ### Deep Neural Network (RMSprop) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6452b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Alpha"}. This record does not assert independent reproduction. ### Deep Neural Network (RMSprop) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6452c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Beta"}. This record does not assert independent reproduction. ### Deep Neural Network (RMSprop) ROC-AUC: 100. Result ID: 69ccce4d47f34ce924b6452d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency Band":"Gamma"}. This record does not assert independent reproduction. ### Small machine learning model ROC-AUC: 99.15. Result ID: 69ccce4d47f34ce924b64561. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"β","Optimizer":"RMSprop"}. This record does not assert independent reproduction. ### Big machine learning model ROC-AUC: 98.76. Result ID: 69ccce4d47f34ce924b64562. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"γ","Optimizer":"Adadelta"}. This record does not assert independent reproduction. ### Big machine learning model ROC-AUC: 98.72. Result ID: 69ccce4d47f34ce924b6455f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"β","Optimizer":"Adadelta"}. This record does not assert independent reproduction. ### Small machine learning model ROC-AUC: 98.64. Result ID: 69ccce4d47f34ce924b64564. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"γ","Optimizer":"NAdam"}. This record does not assert independent reproduction. ### Small machine learning model ROC-AUC: 97.9. Result ID: 69ccce4d47f34ce924b64558. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"δ","Optimizer":"RMSprop \| Adam"}. This record does not assert independent reproduction. ### Small machine learning model ROC-AUC: 97.09. Result ID: 69ccce4d47f34ce924b6455b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"θ","Optimizer":"Adam"}. This record does not assert independent reproduction. ### Convolutional Neural Network (CNN) ROC-AUC: 96.72. Result ID: 69ccce4d47f34ce924b64560. [Reporting paper]() Recorded evaluation configuration: {"Frequency":"β","Optimizer":"Adamax"}. This record does not assert independent reproduction. ### Small machine learning model ROC-AUC: 96.6. Result ID: 69ccce4d47f34ce924b6455e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"α","Optimizer":"RMSprop"}. This record does not assert independent reproduction. ### Big machine learning model ROC-AUC: 96.53. Result ID: 69ccce4d47f34ce924b64559. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"θ","Optimizer":"Adadelta"}. This record does not assert independent reproduction. ### Big machine learning model ROC-AUC: 95.29. Result ID: 69ccce4d47f34ce924b6455c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"α","Optimizer":"Adadelta"}. This record does not assert independent reproduction. ### Big machine learning model ROC-AUC: 94.39. Result ID: 69ccce4d47f34ce924b64556. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Frequency":"δ","Optimizer":"Adadelta"}. This record does not assert independent reproduction. ### Convolutional Neural Network (CNN) ROC-AUC: 93.69. Result ID: 69ccce4d47f34ce924b6455a. [Reporting paper]() Recorded evaluation configuration: {"Frequency":"θ","Optimizer":"Adadelta \| SGD"}. This record does not assert independent reproduction. ### Convolutional Neural Network (CNN) ROC-AUC: 89.72. Result ID: 69ccce4d47f34ce924b64557. [Reporting paper]() Recorded evaluation configuration: {"Frequency":"δ"}. This record does not assert independent reproduction. ### Convolutional Neural Network (CNN) ROC-AUC: 89.6. Result ID: 69ccce4d47f34ce924b64563. [Reporting paper]() Recorded evaluation configuration: {"Frequency":"γ"}. This record does not assert independent reproduction. ### Convolutional Neural Network (CNN) ROC-AUC: 88.91. Result ID: 69ccce4d47f34ce924b6455d. [Reporting paper]() Recorded evaluation configuration: {"Frequency":"α","Optimizer":"SGD"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.