Kitain 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5254  0.0023  0.0818  0.3659  0.0328  0.10
Ashkenazy 1981   4  0.5813  0.019  0.138  0.5261  0.0323  0.12
Beliavsky 2004   42  0.4835  0.0042  0.0643  0.0647  0.0545  0.05
BenOr 1989   17  0.5447  0.0013  0.1014  0.4348  0.069  0.16
Biret 1990   21  0.5439  0.0027  0.0926  0.2741  0.0617  0.13
Blet 2003   5  0.5829  0.0010  0.176  0.5349  0.058  0.16
Block 1995   18  0.548  0.0212  0.1122  0.3140  0.0522  0.12
Brailowsky 1960   1  0.624  0.083  0.242  0.6821  0.292  0.44
Chiu 1999   31  0.517  0.0340  0.0739  0.0762  0.0441  0.05
Clidat 1994   6  0.582  0.142  0.224  0.5635  0.066  0.18
Cohen 1997   49  0.4750  0.0035  0.0735  0.0758  0.0456  0.05
Coop 1987   55  0.4545  0.0056  0.0458  0.0450  0.0646  0.05
Cortot 1951   9  0.5748  0.0011  0.1310  0.4856  0.0413  0.14
Czerny 1949   52  0.4616  0.0155  0.0454  0.0450  0.0650  0.05
Czerny 1949b   58  0.4253  0.0058  0.0736  0.0746  0.0635  0.06
Ezaki 2006   54  0.4531  0.0057  0.0645  0.0652  0.0633  0.06
Falvay 1989   23  0.5314  0.0130  0.0830  0.1853  0.0530  0.09
Ferenczy 1958   43  0.4828  0.0020  0.1020  0.3353  0.0425  0.11
Fiorentino 1962   33  0.5159  0.0043  0.0455  0.0456  0.0463  0.04
Fliere 1977   24  0.536  0.0331  0.0831  0.1554  0.0432  0.08
Fou 1978   14  0.5511  0.018  0.135  0.5353  0.0410  0.15
Francois 1956   62  0.3552  0.0059  0.0461  0.0444  0.0658  0.05
Hatto 1997   47  0.4863  0.0052  0.0457  0.0451  0.0648  0.05
Horowitz 1971   2  0.611  0.371  0.371  0.723  0.521  0.61
Horowitz 1985   12  0.5625  0.0015  0.1111  0.4818  0.313  0.39
Indjic 2001   46  0.4856  0.0051  0.0549  0.0562  0.0462  0.04
Kapell 1951   13  0.5527  0.0018  0.0917  0.4156  0.0512  0.14
Kiepura 1999   57  0.4438  0.0053  0.0453  0.0438  0.0638  0.05
Kilenyi 1937   29  0.5122  0.0039  0.0738  0.0758  0.0449  0.05
Kissin 1993   7  0.589  0.026  0.137  0.5354  0.057  0.16
Kitain 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   39  0.5017  0.0122  0.0729  0.1949  0.0527  0.10
Levy 1951   26  0.5240  0.0038  0.0642  0.0644  0.0634  0.06
Luisada 1990   44  0.4837  0.0050  0.0644  0.0662  0.0452  0.05
Lushtak 2004   40  0.4930  0.0033  0.0641  0.0660  0.0453  0.05
Lympany 1968   35  0.5032  0.0019  0.0923  0.3146  0.0518  0.12
Magaloff 1977   37  0.5058  0.0046  0.0833  0.0854  0.0536  0.06
Magaloff 1977b   38  0.5044  0.0045  0.0734  0.0755  0.0537  0.06
Magin 1975   27  0.5210  0.0136  0.0640  0.0656  0.0543  0.05
Milkina 1970   32  0.5146  0.0034  0.0737  0.0761  0.0344  0.05
Mohovich 1999   45  0.4849  0.0024  0.0827  0.2448  0.0526  0.11
Nadelmann 1956   22  0.5334  0.0014  0.1013  0.4449  0.0416  0.13
Ohlsson 1999   56  0.4420  0.0037  0.0551  0.0553  0.0460  0.04
Olejniczac 1990   30  0.5164  0.0041  0.0550  0.0551  0.0551  0.05
Olejniczak 1991   51  0.4655  0.0047  0.0459  0.0455  0.0642  0.05
Osinska 1989   34  0.5151  0.0044  0.0552  0.0557  0.0539  0.05
Paderewski 1912   36  0.5033  0.0028  0.1025  0.2852  0.0521  0.12
Perahia 1994   61  0.3641  0.0060  0.0456  0.0441  0.0654  0.05
Perlemuter 1986   10  0.573  0.105  0.1412  0.4622  0.324  0.38
Poblocka 1999   50  0.4719  0.0054  0.0460  0.0453  0.0559  0.04
Rangell 2001   48  0.4742  0.0048  0.0646  0.0660  0.0457  0.05
Risler 1920   60  0.3823  0.0062  0.0547  0.0550  0.0640  0.05
Rosen 1989   20  0.5426  0.0029  0.0828  0.2247  0.0529  0.10
Rubinstein 1939   8  0.5712  0.0116  0.0916  0.4247  0.0511  0.14
Rubinstein 1952   41  0.4943  0.0032  0.0732  0.1345  0.0631  0.09
Rubinstein 1966   53  0.4661  0.0049  0.0548  0.0538  0.0647  0.05
Rummel 1943   25  0.525  0.054  0.263  0.6626  0.195  0.35
Shebanova 2002   59  0.3862  0.0061  0.0462  0.0441  0.0561  0.04
Smith 1975   3  0.5921  0.007  0.199  0.5258  0.0319  0.12
Szpilman 1948   19  0.5436  0.0021  0.0915  0.4260  0.0415  0.13
Uninsky 1971   11  0.5724  0.0017  0.1019  0.3359  0.0424  0.11
Wasowski 1980   15  0.5515  0.0126  0.0821  0.3254  0.0514  0.13
Weissenberg 1971   16  0.5418  0.0125  0.0824  0.3050  0.0520  0.12
Random 1    65  -0.0565  0.0065  0.0265  0.0264  0.0265  0.02
Random 2   63  0.0157  0.0063  0.0363  0.0348  0.0364  0.03
Random 3   64  -0.0260  0.0064  0.0264  0.0228  0.1355  0.05

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).