# Image Classification on CIFAR-10 automobile vs. cat Source: [Image Classification on CIFAR-10 automobile vs. cat]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:25:09.293Z Evaluation of Image Classification performance comparing only the 'automobile' and 'cat' classes within the CIFAR-10 dataset, reporting standard metrics like Accuracy and 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 | Image Classification | | Dataset (including any stated split) | CIFAR-10 automobile vs. cat | | Metric | AUC | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 25 of 25 | | 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 - [AUC](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | AUC | Result date | Report paper | | --- | --- | --- | --- | | AUC-Spec | 99.8 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Top eigenvectors | 99.8 | Not recorded | 698abbc3c97a0b3e3b5de111 | | p laplace | 99.8 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Label propagation | 99 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Poisson learning | 98.9 | Not recorded | 698abbc3c97a0b3e3b5de111 | | p laplace | 98.7 | Not recorded | 698abbc3c97a0b3e3b5de111 | | AUC-Spec | 98.4 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Poisson learning | 98.3 | Not recorded | 698abbc3c97a0b3e3b5de111 | | p laplace | 98.2 | Not recorded | 698abbc3c97a0b3e3b5de111 | | AUC-Spec | 98.1 | Not recorded | 698abbc3c97a0b3e3b5de111 | | AUC-Spec | 98.1 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Label propagation | 98 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Poisson learning | 98 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Top eigenvectors | 97.9 | Not recorded | 698abbc3c97a0b3e3b5de111 | | p laplace | 97.9 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Label propagation | 97.7 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Poisson learning | 97.7 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Label propagation | 97.6 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Top eigenvectors | 97 | Not recorded | 698abbc3c97a0b3e3b5de111 | | AUC-Spec | 96.8 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Label propagation | 96.8 | Not recorded | 698abbc3c97a0b3e3b5de111 | | p laplace | 96.2 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Poisson learning | 96.2 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Top eigenvectors | 96.1 | Not recorded | 698abbc3c97a0b3e3b5de111 | | Top eigenvectors | 94.3 | Not recorded | 698abbc3c97a0b3e3b5de111 | ### AUC-Spec AUC: 99.8. Result ID: 699a2b225698665ec4b0a46d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":200}. This record does not assert independent reproduction. ### Top eigenvectors AUC: 99.8. Result ID: 699a2b225698665ec4b0a477. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":200}. This record does not assert independent reproduction. ### p laplace AUC: 99.8. Result ID: 699a2b225698665ec4b0a47c. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":200}. This record does not assert independent reproduction. ### Label propagation AUC: 99. Result ID: 699a2b225698665ec4b0a472. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":200}. This record does not assert independent reproduction. ### Poisson learning AUC: 98.9. Result ID: 699a2b225698665ec4b0a481. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":200}. This record does not assert independent reproduction. ### p laplace AUC: 98.7. Result ID: 699a2b225698665ec4b0a47b. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":20}. This record does not assert independent reproduction. ### AUC-Spec AUC: 98.4. Result ID: 699a2b225698665ec4b0a46c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":20}. This record does not assert independent reproduction. ### Poisson learning AUC: 98.3. Result ID: 699a2b225698665ec4b0a480. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":20}. This record does not assert independent reproduction. ### p laplace AUC: 98.2. Result ID: 699a2b225698665ec4b0a47a. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":12}. This record does not assert independent reproduction. ### AUC-Spec AUC: 98.1. Result ID: 699a2b225698665ec4b0a46a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":10}. This record does not assert independent reproduction. ### AUC-Spec AUC: 98.1. Result ID: 699a2b225698665ec4b0a46b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":12}. This record does not assert independent reproduction. ### Label propagation AUC: 98. Result ID: 699a2b225698665ec4b0a46f. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":10}. This record does not assert independent reproduction. ### Poisson learning AUC: 98. Result ID: 699a2b225698665ec4b0a47e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":10}. This record does not assert independent reproduction. ### Top eigenvectors AUC: 97.9. Result ID: 699a2b225698665ec4b0a476. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":20}. This record does not assert independent reproduction. ### p laplace AUC: 97.9. Result ID: 699a2b225698665ec4b0a479. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":10}. This record does not assert independent reproduction. ### Label propagation AUC: 97.7. Result ID: 699a2b225698665ec4b0a471. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":20}. This record does not assert independent reproduction. ### Poisson learning AUC: 97.7. Result ID: 699a2b225698665ec4b0a47f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":12}. This record does not assert independent reproduction. ### Label propagation AUC: 97.6. Result ID: 699a2b225698665ec4b0a470. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":12}. This record does not assert independent reproduction. ### Top eigenvectors AUC: 97. Result ID: 699a2b225698665ec4b0a475. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":12}. This record does not assert independent reproduction. ### AUC-Spec AUC: 96.8. Result ID: 699a2b225698665ec4b0a469. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":8}. This record does not assert independent reproduction. ### Label propagation AUC: 96.8. Result ID: 699a2b225698665ec4b0a46e. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":8}. This record does not assert independent reproduction. ### p laplace AUC: 96.2. Result ID: 699a2b225698665ec4b0a478. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":8}. This record does not assert independent reproduction. ### Poisson learning AUC: 96.2. Result ID: 699a2b225698665ec4b0a47d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of labeled points":8}. This record does not assert independent reproduction. ### Top eigenvectors AUC: 96.1. Result ID: 699a2b225698665ec4b0a474. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":10}. This record does not assert independent reproduction. ### Top eigenvectors AUC: 94.3. Result ID: 699a2b225698665ec4b0a473. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled points":8}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.