Classifier Instance:

Anchor text: quantized
Target Entity: Quantization_\u0028image_processing\u0029
Preceding Context: # The amplitudes of the frequency components are
Succeeding Context: . Human vision is much more sensitive to small variations in color or brightness over large areas than to the strength of high-frequency brightness variations. Therefore, the magnitudes of the high-frequency components are stored with a lower accuracy than the low-frequency components. The quality setting of the encoder (for example 50 or 95 on a scale of 0–100 in the Independent JPEG Group's library) affects to what extent the resolution of each frequency component is reduced. If an excessively low quality setting is used, the high-frequency components are discarded altogether.
Paragraph Title: JPEG codec example
Source Page: JPEG

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_event_100029378
|  |  |---wordnet_act_100030358
|  |  |  |---wordnet_activity_100407535
|  |  |  |  |---wordnet_procedure_101023820
|  |  |  |  |  |---wordnet_rule_105846932
|  |  |  |  |  |  |---wordnet_algorithm_105847438

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-1.7075705779836932 0
wordnet_event_1000293780.6327118328791971 1
wordnet_act_1000303581.5937243416742648 1
wordnet_action_100037396-1.8528051640873615 0
wordnet_activity_1004075351.5353939992692973 1
wordnet_game_100455599-1.0377103518936956 0
wordnet_diversion_100426928-1.3479230490313225 0
wordnet_representation_100898518-1.291352112603704 0
wordnet_use_100947128-1.4693482379800764 0
wordnet_wrongdoing_100732746-1.1833031998774814 0
wordnet_procedure_1010238201.037781053491523 1
wordnet_rule_1058469320.6362948284660818 1
wordnet_algorithm_1058474380.8229464401876281 1
wordnet_work_100575741-1.4231765471908717 0
wordnet_sensory_activity_100876737-1.3372041580860141 0
wordnet_operation_100955060-1.4188758416272753 0
wordnet_occupation_100582388-1.519030338416361 0
wordnet_speech_act_107160883-1.897668730275701 0
wordnet_group_action_101080366-1.9218589264016326 0
wordnet_communication_106252138-1.4685127358565218 0
wordnet_social_event_107288639-2.344681085596237 0
wordnet_happening_107283608-1.327123867759572 0
wordnet_group_action_101080366-2.0115538144502287 0
wordnet_organization_108008335-2.2153415171469337 0
wordnet_person_100007846-2.216763165167507 0
yagoGeoEntity-2.204785497305012 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |  |---wordnet_act_100030358
|  |  |  |---wordnet_action_100037396
|  |  |  |---wordnet_activity_100407535
|  |  |  |  |---wordnet_game_100455599
|  |  |  |  |---wordnet_diversion_100426928
|  |  |  |  |---wordnet_representation_100898518
|  |  |  |  |---wordnet_use_100947128
|  |  |  |  |---wordnet_wrongdoing_100732746
|  |  |  |  |---wordnet_procedure_101023820
|  |  |  |  |  |---wordnet_rule_105846932
|  |  |  |  |  |  |---wordnet_algorithm_105847438
|  |  |  |  |---wordnet_work_100575741
|  |  |  |  |---wordnet_sensory_activity_100876737
|  |  |  |  |---wordnet_operation_100955060
|  |  |  |  |---wordnet_occupation_100582388
|  |  |  |---wordnet_speech_act_107160883
|  |  |  |---wordnet_group_action_101080366
|  |  |  |---wordnet_communication_106252138
|  |  |---wordnet_social_event_107288639
|  |  |---wordnet_happening_107283608
|  |  |---wordnet_group_action_101080366
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity