Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.3624  0.0118  0.0520  0.2240  0.1012  0.15
Anderszewski 2003   38  0.2830  0.0142  0.0441  0.0866  0.0345  0.05
Ashkenazy 1981   63  0.1979  0.0040  0.0439  0.0985  0.0251  0.04
Bacha 2000   82  -0.0434  0.0178  0.0377  0.0387  0.0274  0.02
Badura 1965   18  0.3960  0.0056  0.0365  0.0379  0.0367  0.03
Barbosa 1983   47  0.2763  0.0066  0.0279  0.0286  0.0280  0.02
Biret 1990   55  0.2243  0.0070  0.0370  0.0375  0.0371  0.03
Blet 2003   39  0.2875  0.0063  0.0364  0.0382  0.0362  0.03
Block 1995   9  0.471  0.121  0.121  0.4515  0.321  0.38
Blumental 1952   64  0.1912  0.0259  0.0449  0.0473  0.0368  0.03
Boshniakovich 1969   11  0.4711  0.0315  0.0619  0.2440  0.139  0.18
Brailowsky 1960   28  0.347  0.056  0.0727  0.1640  0.1014  0.13
Bunin 1987   44  0.2852  0.0057  0.0359  0.0375  0.0369  0.03
Bunin 1987b   45  0.2861  0.0058  0.0446  0.0476  0.0358  0.03
Chiu 1999   32  0.3287  0.0055  0.0378  0.0380  0.0353  0.03
Cohen 1997   83  -0.0541  0.0080  0.0281  0.0278  0.0284  0.02
Cortot 1951   33  0.313  0.085  0.0818  0.2434  0.216  0.22
Csalog 1996   84  -0.1268  0.0088  0.0188  0.0188  0.0288  0.01
Czerny 1949   13  0.4616  0.0224  0.0825  0.1769  0.0338  0.07
Czerny 1990   7  0.4815  0.0219  0.0514  0.2554  0.0426  0.10
Duchoud 2007   59  0.2072  0.0028  0.0440  0.0871  0.0347  0.05
Ezaki 2006   10  0.4747  0.0022  0.0611  0.2866  0.0420  0.11
Falvay 1989   26  0.3565  0.0049  0.0353  0.0385  0.0354  0.03
Farrell 1958   76  0.1046  0.0073  0.0357  0.0385  0.0355  0.03
Ferenczy 1958   60  0.2048  0.0067  0.0373  0.0357  0.0464  0.03
Fliere 1977   19  0.3973  0.0033  0.0424  0.1879  0.0336  0.07
Fou 1978   49  0.2588  0.0036  0.0433  0.1258  0.0531  0.08
Francois 1956   29  0.3429  0.0117  0.0515  0.2561  0.0427  0.10
Friedman 1923   79  0.0114  0.0246  0.0645  0.0632  0.2419  0.12
Friedman 1923b   80  0.0031  0.0145  0.0356  0.0333  0.2135  0.08
Friedman 1930   53  0.2466  0.0054  0.0368  0.0359  0.0549  0.04
Garcia 2007   54  0.2382  0.0038  0.0436  0.1240  0.1317  0.12
Garcia 2007b   51  0.2426  0.0126  0.0431  0.1421  0.2210  0.18
Gierzod 1998   67  0.1749  0.0074  0.0451  0.0483  0.0365  0.03
Gornostaeva 1994   6  0.5017  0.023  0.094  0.3635  0.184  0.25
Groot 1988   43  0.2859  0.0032  0.0435  0.1270  0.0342  0.06
Harasiewicz 1955   2  0.554  0.084  0.086  0.3240  0.127  0.20
Hatto 1993   89  -0.1889  0.0085  0.0287  0.0289  0.0190  0.01
Hatto 1997   86  -0.1574  0.0086  0.0286  0.0289  0.0282  0.02
Horowitz 1949   75  0.1180  0.0082  0.0283  0.0275  0.0377  0.02
Indjic 1988   90  -0.1990  0.0087  0.0284  0.0289  0.0187  0.01
Kapell 1951   69  0.1777  0.0068  0.0369  0.0375  0.0356  0.03
Kissin 1993   15  0.4283  0.0030  0.0321  0.2159  0.0430  0.09
Kushner 1989   8  0.482  0.082  0.112  0.4531  0.232  0.32
Luisada 1991   17  0.4078  0.0035  0.0428  0.1640  0.1313  0.14
Lushtak 2004   46  0.2735  0.0139  0.0538  0.1178  0.0341  0.06
Malcuzynski 1961   34  0.3054  0.0021  0.0617  0.2453  0.0424  0.10
Magaloff 1978   27  0.3513  0.0216  0.0512  0.2643  0.0911  0.15
Magin 1975   16  0.4219  0.018  0.077  0.3226  0.213  0.26
Michalowski 1933   24  0.3727  0.0127  0.0429  0.1667  0.0433  0.08
Milkina 1970   73  0.1242  0.0071  0.0363  0.0378  0.0357  0.03
Mohovich 1999   31  0.3238  0.0143  0.0343  0.0670  0.0350  0.04
Moravec 1969   71  0.1369  0.0076  0.0361  0.0382  0.0275  0.02
Morozova 2008   3  0.5321  0.017  0.063  0.3842  0.108  0.19
Neighaus 1950   50  0.2432  0.0141  0.0534  0.1269  0.0343  0.06
Niedzielski 1931   72  0.139  0.0325  0.0542  0.0867  0.0344  0.05
Ohlsson 1999   65  0.1950  0.0072  0.0360  0.0387  0.0279  0.02
Osinska 1989   12  0.4623  0.0123  0.0613  0.2554  0.0423  0.10
Pachmann 1927   78  0.0257  0.0081  0.0285  0.0285  0.0278  0.02
Paderewski 1930   41  0.2837  0.0160  0.0447  0.0473  0.0260  0.03
Perlemuter 1992   5  0.5340  0.0010  0.078  0.3055  0.0421  0.11
Pierdomenico 2008   4  0.5356  0.0031  0.0422  0.2149  0.0428  0.09
Poblocka 1999   58  0.2170  0.0069  0.0450  0.0470  0.0352  0.03
Rabcewiczowa 1932   14  0.465  0.0613  0.0610  0.2835  0.175  0.22
Rachmaninoff 1923   20  0.3755  0.0029  0.0523  0.1869  0.0337  0.07
Rangell 2001   66  0.1858  0.0051  0.0366  0.0361  0.0470  0.03
Richter 1976   21  0.3771  0.0034  0.0626  0.1764  0.0432  0.08
Rosen 1989   35  0.3045  0.0037  0.0432  0.1260  0.0439  0.07
Rosenthal 1930   52  0.2425  0.0164  0.0355  0.0357  0.0466  0.03
Rosenthal 1931   48  0.2585  0.0050  0.0448  0.0443  0.1040  0.06
Rosenthal 1931b   68  0.1762  0.0052  0.0376  0.0345  0.0848  0.05
Rosenthal 1931c   56  0.2151  0.0047  0.0354  0.0360  0.0473  0.03
Rosenthal 1931d   57  0.2139  0.0053  0.0372  0.0359  0.0472  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   88  -0.1776  0.0090  0.0190  0.0188  0.0286  0.01
Rubinstein 1952   70  0.1553  0.0084  0.0282  0.0276  0.0385  0.02
Rubinstein 1966   81  0.0081  0.0079  0.0375  0.0381  0.0281  0.02
Schilhawsky 1960   42  0.2836  0.0148  0.0352  0.0381  0.0363  0.03
Shebanova 2002   62  0.2067  0.0075  0.0358  0.0384  0.0283  0.02
Smith 1975   1  0.5522  0.019  0.075  0.3555  0.0416  0.12
Sokolov 2002   23  0.3718  0.0120  0.069  0.3056  0.0422  0.11
Sztompka 1959   30  0.326  0.0514  0.0730  0.1553  0.0529  0.09
Tomsic 1995   40  0.288  0.0411  0.0616  0.2467  0.0425  0.10
Uninsky 1932   22  0.3720  0.0144  0.0344  0.0668  0.0446  0.05
Uninsky 1971   37  0.2944  0.0061  0.0371  0.0372  0.0361  0.03
Wasowski 1980   36  0.2910  0.0312  0.0737  0.1133  0.1315  0.12
Zak 1937   74  0.1286  0.0083  0.0280  0.0276  0.0376  0.02
Zak 1951   61  0.2084  0.0077  0.0362  0.0377  0.0359  0.03
Random 1   77  0.0628  0.0162  0.0367  0.034  0.5018  0.12
Random 2   87  -0.1664  0.0089  0.0189  0.0178  0.0289  0.01
Random 3   85  -0.1433  0.0165  0.0374  0.0328  0.2134  0.08

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).