Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.3265  0.0059  0.0363  0.0328  0.1251  0.06
Ashkenazy 1981   49  0.3437  0.0045  0.0546  0.0536  0.0753  0.06
Beliavsky 2004   59  0.3030  0.0056  0.0362  0.0327  0.1745  0.07
BenOr 1989   7  0.5154  0.007  0.187  0.5518  0.577  0.56
Biret 1990   42  0.3847  0.0047  0.0456  0.0443  0.0657  0.05
Blet 2003   56  0.3133  0.0039  0.0643  0.0643  0.0650  0.06
Block 1995   25  0.4311  0.0120  0.0921  0.3326  0.2022  0.26
Brailowsky 1960   35  0.4048  0.0038  0.1133  0.1135  0.1041  0.10
Chiu 1999   19  0.445  0.0218  0.0915  0.417  0.5312  0.47
Clidat 1994   44  0.3636  0.0052  0.0451  0.0461  0.0462  0.04
Cohen 1997   63  0.2861  0.0053  0.0454  0.0423  0.2939  0.11
Coop 1987   22  0.4327  0.0030  0.0828  0.2043  0.0737  0.12
Cortot 1951   61  0.2922  0.0057  0.0457  0.0427  0.3040  0.11
Czerny 1949   5  0.547  0.016  0.284  0.708  0.692  0.69
Czerny 1949b   11  0.4732  0.0022  0.0920  0.3314  0.5516  0.43
Ezaki 2006   2  0.602  0.162  0.463  0.706  0.663  0.68
Falvay 1989   52  0.3342  0.0054  0.0458  0.0452  0.0559  0.04
Ferenczy 1958   39  0.3858  0.0015  0.1022  0.3324  0.4218  0.37
Fiorentino 1962   37  0.4038  0.0035  0.1034  0.1026  0.3526  0.19
Fliere 1977   40  0.3823  0.0043  0.0936  0.0933  0.0943  0.09
Fou 1978   3  0.583  0.043  0.422  0.712  0.741  0.72
Francois 1956   33  0.4113  0.0136  0.0838  0.088  0.5125  0.20
Hatto 1997   15  0.4516  0.0013  0.1214  0.4215  0.5213  0.47
Horowitz 1971   8  0.5010  0.0111  0.1313  0.4311  0.5114  0.47
Horowitz 1985   34  0.4055  0.0041  0.0935  0.0923  0.2632  0.15
Indjic 2001   18  0.4512  0.0119  0.0916  0.3814  0.5615  0.46
Kapell 1951   38  0.3914  0.0034  0.0937  0.0925  0.3228  0.17
Kiepura 1999   29  0.4262  0.0040  0.0644  0.0636  0.0648  0.06
Kilenyi 1937   14  0.4625  0.0010  0.2210  0.4721  0.5311  0.50
Kissin 1993   48  0.3543  0.0046  0.0550  0.0537  0.1046  0.07
Kitain 1937   53  0.3352  0.0049  0.0547  0.0517  0.4333  0.15
Kushner 1990   6  0.524  0.024  0.336  0.628  0.695  0.65
Levy 1951   16  0.4550  0.0012  0.1411  0.463  0.668  0.55
Luisada 1990   36  0.4031  0.0042  0.0839  0.0825  0.2435  0.14
Lushtak 2004   31  0.4115  0.0026  0.0830  0.1724  0.2027  0.18
Lympany 1968   62  0.2853  0.0063  0.0545  0.0549  0.0555  0.05
Magaloff 1977   51  0.3363  0.0058  0.0360  0.0337  0.0661  0.04
Magaloff 1977b   55  0.3244  0.0061  0.0459  0.0439  0.0564  0.04
Magin 1975   13  0.4628  0.0023  0.1125  0.2435  0.1131  0.16
Milkina 1970   24  0.4346  0.0025  0.0924  0.2537  0.0834  0.14
Mohovich 1999   57  0.3049  0.0051  0.0455  0.0458  0.0565  0.04
Nadelmann 1956   43  0.3845  0.0044  0.0840  0.0858  0.0449  0.06
Ohlsson 1999   50  0.3464  0.0050  0.0548  0.0538  0.0656  0.05
Olejniczac 1990   30  0.4241  0.0028  0.0627  0.2120  0.4521  0.31
Olejniczak 1991   28  0.4235  0.0024  0.0923  0.2717  0.3719  0.32
Osinska 1989   12  0.4624  0.0017  0.0918  0.3742  0.0730  0.16
Paderewski 1912   45  0.3617  0.0048  0.0549  0.0536  0.0752  0.06
Perahia 1994   17  0.4539  0.0027  0.0726  0.2344  0.0736  0.13
Perlemuter 1986   26  0.4226  0.0029  0.0629  0.1934  0.0738  0.12
Poblocka 1999   4  0.556  0.025  0.405  0.655  0.704  0.67
Rangell 2001   10  0.498  0.018  0.169  0.522  0.746  0.62
Risler 1920   60  0.3059  0.0060  0.0361  0.0349  0.0558  0.04
Rosen 1989   32  0.4140  0.0016  0.1119  0.3322  0.5717  0.43
Rubinstein 1939   20  0.449  0.0121  0.0917  0.3720  0.2720  0.32
Rubinstein 1952   41  0.3819  0.0033  0.0742  0.0744  0.0554  0.06
Rubinstein 1966   21  0.4429  0.0014  0.1212  0.4434  0.1123  0.22
Rummel 1943   46  0.3551  0.0055  0.0452  0.0448  0.0563  0.04
Shebanova 2002   9  0.5018  0.009  0.208  0.5410  0.569  0.55
Smith 1975   23  0.4320  0.0031  0.0731  0.1738  0.0642  0.10
Szpilman 1948   47  0.3534  0.0037  0.0741  0.0725  0.3729  0.16
Uninsky 1971   27  0.4221  0.0032  0.0832  0.1526  0.2624  0.20
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Weissenberg 1971   58  0.3060  0.0062  0.0453  0.0454  0.0560  0.04
Average   1  0.681  0.651  0.641  0.9121  0.3210  0.54
Random 1    66  -0.0166  0.0064  0.0264  0.0217  0.2844  0.07
Random 2   65  0.0056  0.0065  0.0265  0.0227  0.2447  0.07
Random 3   64  0.0157  0.0066  0.0166  0.0143  0.0566  0.02

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).