Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.6231  0.0042  0.0738  0.0723  0.3443  0.15
Ashkenazy 1981   33  0.6840  0.0032  0.0832  0.1625  0.1938  0.17
Beliavsky 2004   26  0.6952  0.0048  0.0734  0.0715  0.4035  0.17
BenOr 1989   21  0.7156  0.0021  0.1116  0.4225  0.2428  0.32
Biret 1990   58  0.5662  0.0053  0.0557  0.0548  0.0562  0.05
Blet 2003   54  0.5949  0.0040  0.0641  0.0622  0.2348  0.12
Block 1995   48  0.6347  0.0037  0.0739  0.0727  0.3244  0.15
Brailowsky 1960   43  0.646  0.0051  0.0460  0.0411  0.5641  0.15
Chiu 1999   37  0.6727  0.0011  0.1420  0.4022  0.4221  0.41
Clidat 1994   18  0.7246  0.0015  0.0915  0.436  0.5115  0.47
Cohen 1997   62  0.3265  0.0062  0.0650  0.0649  0.0561  0.05
Coop 1987   27  0.6942  0.0010  0.1312  0.4828  0.2625  0.35
Cortot 1951   53  0.6012  0.0059  0.0649  0.065  0.6930  0.20
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949b   1  0.941  0.951  0.941  0.971  0.981  0.97
Ezaki 2006   4  0.7728  0.004  0.324  0.7410  0.654  0.69
Falvay 1989   29  0.6948  0.009  0.1314  0.4424  0.3722  0.40
Ferenczy 1958   60  0.5119  0.0057  0.0462  0.0427  0.3050  0.11
Fiorentino 1962   17  0.7254  0.0023  0.1121  0.4013  0.5516  0.47
Fliere 1977   9  0.7416  0.0012  0.129  0.5320  0.4810  0.50
Fou 1978   6  0.7535  0.008  0.207  0.6413  0.616  0.62
Francois 1956   40  0.6657  0.0054  0.0556  0.0529  0.1855  0.09
Hatto 1997   56  0.5720  0.0055  0.0558  0.0537  0.0758  0.06
Horowitz 1971   45  0.6350  0.0045  0.0643  0.0616  0.4439  0.16
Horowitz 1985   55  0.574  0.0156  0.0461  0.049  0.5440  0.15
Indjic 2001   59  0.5629  0.0058  0.0554  0.0554  0.0660  0.05
Kapell 1951   23  0.7025  0.0018  0.1013  0.4620  0.4318  0.44
Kiepura 1999   12  0.7310  0.0016  0.1025  0.333  0.6317  0.46
Kilenyi 1937   11  0.7311  0.007  0.258  0.5618  0.549  0.55
Kissin 1993   8  0.742  0.012  0.316  0.6711  0.547  0.60
Kitain 1937   61  0.4823  0.0061  0.0652  0.0624  0.2649  0.12
Kushner 1990   36  0.6760  0.0030  0.0929  0.2130  0.1336  0.17
Levy 1951   47  0.6317  0.0035  0.0646  0.068  0.5931  0.19
Luisada 1990   7  0.7422  0.0020  0.1410  0.523  0.638  0.57
Lushtak 2004   30  0.6936  0.0034  0.0833  0.0827  0.2645  0.14
Lympany 1968   39  0.6615  0.0047  0.0735  0.0733  0.1352  0.10
Magaloff 1977   34  0.6758  0.0038  0.0736  0.0722  0.3142  0.15
Magaloff 1977b   38  0.6655  0.0041  0.0651  0.0630  0.2251  0.11
Magin 1975   5  0.775  0.003  0.235  0.732  0.683  0.70
Milkina 1970   42  0.6459  0.0049  0.0644  0.0644  0.0657  0.06
Mohovich 1999   44  0.6434  0.0052  0.0555  0.0540  0.0759  0.06
Nadelmann 1956   31  0.6921  0.0028  0.1226  0.296  0.4623  0.37
Ohlsson 1999   52  0.6151  0.0033  0.0737  0.0724  0.2346  0.13
Olejniczac 1990   14  0.7337  0.0022  0.1418  0.4111  0.5514  0.47
Olejniczak 1991   22  0.7163  0.0026  0.0924  0.3320  0.3626  0.34
Osinska 1989   3  0.773  0.015  0.303  0.7414  0.565  0.64
Paderewski 1912   10  0.7313  0.0014  0.1019  0.411  0.6211  0.50
Perahia 1994   57  0.5639  0.0060  0.0645  0.0631  0.1753  0.10
Perlemuter 1986   16  0.7326  0.0027  0.0930  0.1928  0.2032  0.19
Poblocka 1999   2  0.788  0.006  0.332  0.762  0.732  0.74
Rangell 2001   28  0.6932  0.0029  0.0828  0.2722  0.4227  0.34
Risler 1920   24  0.7053  0.0024  0.1023  0.389  0.5913  0.47
Rosen 1989   41  0.657  0.0043  0.0642  0.0615  0.4737  0.17
Rubinstein 1939   51  0.619  0.0039  0.0647  0.0625  0.2547  0.12
Rubinstein 1952   35  0.6738  0.0036  0.0553  0.0530  0.2054  0.10
Rubinstein 1966   50  0.6144  0.0050  0.0459  0.0449  0.0564  0.04
Rummel 1943   25  0.7018  0.0044  0.0648  0.062  0.6133  0.19
Shebanova 2002   20  0.7124  0.0019  0.1311  0.5018  0.3720  0.43
Smith 1975   15  0.7341  0.0025  0.0927  0.2911  0.4524  0.36
Szpilman 1948   19  0.7145  0.0013  0.1017  0.4114  0.5812  0.49
Uninsky 1971   13  0.7330  0.0017  0.1122  0.399  0.5019  0.44
Wasowski 1980   32  0.6814  0.0046  0.0640  0.0611  0.4834  0.17
Weissenberg 1971   46  0.6333  0.0031  0.0931  0.1829  0.2729  0.22
Random 1    65  -0.0464  0.0064  0.0264  0.0232  0.1063  0.04
Random 2   63  -0.0161  0.0063  0.0363  0.0344  0.0565  0.04
Random 3   64  -0.0343  0.0065  0.0265  0.0224  0.2256  0.07

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).