Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.3624  0.0118  0.0520  0.2241  0.1012  0.15
Anderszewski 2003   39  0.2830  0.0143  0.0442  0.0867  0.0346  0.05
Ashkenazy 1981   64  0.1979  0.0038  0.0440  0.0986  0.0251  0.04
Bacha 2000   83  -0.0434  0.0179  0.0278  0.0288  0.0274  0.02
Badura 1965   18  0.3960  0.0057  0.0366  0.0380  0.0367  0.03
Barbosa 1983   48  0.2763  0.0067  0.0280  0.0287  0.0281  0.02
Biret 1990   56  0.2243  0.0071  0.0371  0.0376  0.0371  0.03
Blet 2003   40  0.2875  0.0064  0.0365  0.0383  0.0362  0.03
Block 1995   9  0.471  0.121  0.121  0.4515  0.321  0.38
Blumental 1952   65  0.1912  0.0260  0.0450  0.0474  0.0368  0.03
Boshniakovich 1969   11  0.4711  0.0315  0.0619  0.2441  0.139  0.18
Brailowsky 1960   29  0.347  0.056  0.0728  0.1641  0.1014  0.13
Bunin 1987   45  0.2852  0.0058  0.0360  0.0376  0.0369  0.03
Bunin 1987b   46  0.2861  0.0059  0.0447  0.0477  0.0358  0.03
Chiu 1999   33  0.3288  0.0056  0.0279  0.0281  0.0376  0.02
Cohen 1997   84  -0.0541  0.0081  0.0282  0.0279  0.0285  0.02
Cortot 1951   34  0.313  0.085  0.0818  0.2435  0.216  0.22
Csalog 1996   85  -0.1268  0.0089  0.0189  0.0189  0.0289  0.01
Czerny 1949   13  0.4616  0.0224  0.0826  0.1770  0.0339  0.07
Czerny 1990   7  0.4815  0.0219  0.0514  0.2555  0.0425  0.10
Duchoud 2007   60  0.2072  0.0028  0.0441  0.0872  0.0348  0.05
Ezaki 2006   10  0.4747  0.0022  0.0611  0.2867  0.0327  0.09
Falvay 1989   27  0.3565  0.0050  0.0354  0.0386  0.0354  0.03
Farrell 1958   77  0.1046  0.0074  0.0358  0.0386  0.0355  0.03
Ferenczy 1958   61  0.2048  0.0068  0.0374  0.0358  0.0464  0.03
Fliere 1977   19  0.3973  0.0040  0.0725  0.1880  0.0336  0.07
Fou 1978   50  0.2589  0.0034  0.0334  0.1259  0.0531  0.08
Francois 1956   30  0.3429  0.0117  0.0515  0.2562  0.0426  0.10
Friedman 1923   80  0.0114  0.0247  0.0646  0.0632  0.2419  0.12
Friedman 1923b   81  0.0031  0.0146  0.0357  0.0334  0.2135  0.08
Friedman 1930   54  0.2466  0.0055  0.0369  0.0360  0.0549  0.04
Garcia 2007   55  0.2382  0.0036  0.0437  0.1241  0.1317  0.12
Garcia 2007b   52  0.2426  0.0126  0.0432  0.1421  0.2210  0.18
Gierzod 1998   68  0.1750  0.0075  0.0452  0.0484  0.0265  0.03
Gornostaeva 1994   6  0.5017  0.023  0.094  0.3636  0.184  0.25
Groot 1988   44  0.2859  0.0031  0.0436  0.1271  0.0343  0.06
Harasiewicz 1955   2  0.554  0.084  0.086  0.3241  0.127  0.20
Hatto 1993   90  -0.1890  0.0086  0.0288  0.0290  0.0191  0.01
Hatto 1997   87  -0.1574  0.0087  0.0287  0.0290  0.0283  0.02
Horowitz 1949   76  0.1180  0.0083  0.0284  0.0276  0.0378  0.02
Indjic 1988   91  -0.1991  0.0088  0.0285  0.0290  0.0188  0.01
Kapell 1951   70  0.1777  0.0069  0.0370  0.0376  0.0356  0.03
Kissin 1993   15  0.4283  0.0030  0.0321  0.2160  0.0430  0.09
Kushner 1989   8  0.482  0.082  0.112  0.4532  0.232  0.32
Luisada 1991   17  0.4078  0.0035  0.0429  0.1641  0.1313  0.14
Lushtak 2004   47  0.2735  0.0137  0.0539  0.1179  0.0342  0.06
Malcuzynski 1961   35  0.3054  0.0021  0.0617  0.2454  0.0423  0.10
Magaloff 1978   28  0.3513  0.0216  0.0512  0.2644  0.0911  0.15
Magin 1975   16  0.4219  0.018  0.077  0.3227  0.213  0.26
Michalowski 1933   24  0.3727  0.0127  0.0430  0.1668  0.0432  0.08
Milkina 1970   74  0.1242  0.0072  0.0364  0.0379  0.0357  0.03
Mohovich 1999   32  0.3238  0.0144  0.0344  0.0671  0.0350  0.04
Moravec 1969   72  0.1369  0.0077  0.0362  0.0383  0.0275  0.02
Morozova 2008   3  0.5321  0.017  0.073  0.3843  0.108  0.19
Neighaus 1950   51  0.2432  0.0142  0.0535  0.1270  0.0344  0.06
Niedzielski 1931   73  0.139  0.0325  0.0543  0.0868  0.0345  0.05
Ohlsson 1999   66  0.1949  0.0073  0.0361  0.0388  0.0280  0.02
Osinska 1989   12  0.4623  0.0123  0.0613  0.2555  0.0422  0.10
Pachmann 1927   79  0.0257  0.0082  0.0286  0.0286  0.0279  0.02
Paderewski 1930   42  0.2837  0.0161  0.0448  0.0474  0.0260  0.03
Perlemuter 1992   5  0.5340  0.0010  0.078  0.3056  0.0420  0.11
Pierdomenico 2008   4  0.5356  0.0032  0.0422  0.2150  0.0428  0.09
Poblocka 1999   59  0.2170  0.0070  0.0451  0.0471  0.0353  0.03
Rabcewiczowa 1932   14  0.465  0.0613  0.0610  0.2836  0.175  0.22
Rachmaninoff 1923   20  0.3755  0.0029  0.0524  0.1870  0.0337  0.07
Rangell 2001   67  0.1858  0.0052  0.0367  0.0362  0.0470  0.03
Richter 1976   21  0.3771  0.0033  0.0427  0.1765  0.0338  0.07
Rosen 1989   36  0.3045  0.0041  0.0533  0.1261  0.0440  0.07
Rosenthal 1930   53  0.2425  0.0165  0.0356  0.0358  0.0466  0.03
Rosenthal 1931   49  0.2585  0.0051  0.0449  0.0444  0.1041  0.06
Rosenthal 1931b   69  0.1762  0.0053  0.0277  0.0246  0.0852  0.04
Rosenthal 1931c   57  0.2151  0.0048  0.0355  0.0361  0.0373  0.03
Rosenthal 1931d   58  0.2139  0.0054  0.0373  0.0360  0.0472  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   89  -0.1776  0.0091  0.0191  0.0189  0.0287  0.01
Rubinstein 1952   71  0.1553  0.0085  0.0283  0.0277  0.0386  0.02
Rubinstein 1966   82  0.0081  0.0080  0.0376  0.0382  0.0282  0.02
Schilhawsky 1960   43  0.2836  0.0149  0.0353  0.0382  0.0363  0.03
Shebanova 2002   63  0.2067  0.0076  0.0359  0.0385  0.0284  0.02
Smith 1975   1  0.5522  0.019  0.075  0.3556  0.0416  0.12
Sokolov 2002   23  0.3718  0.0120  0.069  0.3057  0.0421  0.11
Sztompka 1959   31  0.326  0.0514  0.0731  0.1554  0.0529  0.09
Tomsic 1995   41  0.288  0.0411  0.0616  0.2468  0.0424  0.10
Uninsky 1932   22  0.3720  0.0145  0.0345  0.0669  0.0447  0.05
Uninsky 1971   38  0.2944  0.0062  0.0372  0.0373  0.0361  0.03
Wasowski 1980   37  0.2910  0.0312  0.0738  0.1134  0.1315  0.12
Zak 1937   75  0.1286  0.0084  0.0281  0.0277  0.0377  0.02
Zak 1951   62  0.2084  0.0078  0.0363  0.0378  0.0359  0.03
Average   25  0.3687  0.0039  0.0423  0.1988  0.0333  0.08
Random 1   78  0.0628  0.0163  0.0368  0.033  0.5218  0.12
Random 2   88  -0.1664  0.0090  0.0190  0.0179  0.0290  0.01
Random 3   86  -0.1433  0.0166  0.0375  0.0328  0.2234  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).