Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.2563  0.0030  0.0635  0.1686  0.0240  0.06
Anderszewski 2003   52  0.1849  0.0050  0.0363  0.0385  0.0275  0.02
Ashkenazy 1981   59  0.1584  0.0061  0.0373  0.0385  0.0363  0.03
Bacha 2000   84  0.0054  0.0085  0.0372  0.0385  0.0268  0.02
Badura 1965   45  0.2269  0.0074  0.0285  0.0283  0.0381  0.02
Barbosa 1983   56  0.1655  0.0081  0.0369  0.0385  0.0274  0.02
Biret 1990   32  0.2523  0.0151  0.0359  0.0384  0.0365  0.03
Blet 2003   50  0.1943  0.0072  0.0281  0.0283  0.0276  0.02
Block 1995   7  0.391  0.181  0.181  0.6223  0.291  0.42
Blumental 1952   67  0.1366  0.0075  0.0279  0.0286  0.0282  0.02
Boshniakovich 1969   9  0.3815  0.018  0.0621  0.2950  0.0515  0.12
Brailowsky 1960   44  0.2271  0.0035  0.0541  0.0983  0.0246  0.04
Bunin 1987   42  0.2342  0.0058  0.0360  0.0381  0.0364  0.03
Bunin 1987b   43  0.2245  0.0059  0.0545  0.0583  0.0348  0.04
Chiu 1999   39  0.2385  0.0065  0.0284  0.0286  0.0270  0.02
Cohen 1997   81  0.0331  0.0067  0.0276  0.0288  0.0283  0.02
Cortot 1951   21  0.317  0.045  0.087  0.4436  0.212  0.30
Csalog 1996   83  0.0132  0.0052  0.0354  0.0378  0.0356  0.03
Czerny 1949   8  0.3820  0.0118  0.0922  0.2970  0.0328  0.09
Czerny 1990   19  0.3248  0.0025  0.0626  0.2674  0.0421  0.10
Duchoud 2007   55  0.1656  0.0045  0.0446  0.0478  0.0360  0.03
Ezaki 2006   14  0.3572  0.0031  0.0629  0.2170  0.0331  0.08
Falvay 1989   34  0.2547  0.0044  0.0444  0.0884  0.0342  0.05
Farrell 1958   69  0.1110  0.0339  0.0539  0.1074  0.0343  0.05
Ferenczy 1958   60  0.1573  0.0079  0.0374  0.0366  0.0358  0.03
Fliere 1977   15  0.3459  0.0023  0.0625  0.2684  0.0323  0.09
Fou 1978   54  0.1874  0.0056  0.0368  0.0381  0.0351  0.03
Francois 1956   26  0.2827  0.0014  0.0818  0.3283  0.0235  0.08
Friedman 1923   73  0.1011  0.0226  0.0628  0.2138  0.137  0.17
Friedman 1923b   75  0.0938  0.0027  0.0732  0.1952  0.0618  0.11
Friedman 1930   48  0.2078  0.0042  0.0443  0.0848  0.0539  0.06
Garcia 2007   74  0.1075  0.0062  0.0361  0.0370  0.0361  0.03
Garcia 2007b   65  0.1368  0.0066  0.0277  0.0285  0.0286  0.02
Gierzod 1998   64  0.1440  0.0071  0.0450  0.0482  0.0259  0.03
Gornostaeva 1994   2  0.464  0.064  0.136  0.4841  0.144  0.26
Groot 1988   40  0.2381  0.0036  0.0534  0.1772  0.0337  0.07
Harasiewicz 1955   5  0.416  0.059  0.0612  0.3781  0.0319  0.11
Hatto 1993   89  -0.1386  0.0088  0.0189  0.0190  0.0190  0.01
Hatto 1997   87  -0.1187  0.0086  0.0286  0.0289  0.0189  0.01
Horowitz 1949   76  0.0982  0.0077  0.0283  0.0287  0.0272  0.02
Indjic 1988   90  -0.1688  0.0089  0.0188  0.0190  0.0188  0.01
Kapell 1951   70  0.1189  0.0080  0.0367  0.0386  0.0271  0.02
Kissin 1993   17  0.3364  0.0020  0.0714  0.3566  0.0414  0.12
Kushner 1989   10  0.3760  0.0013  0.0710  0.4181  0.0316  0.11
Luisada 1991   27  0.2776  0.0057  0.0448  0.0486  0.0349  0.03
Lushtak 2004   28  0.2619  0.0119  0.0723  0.2783  0.0329  0.09
Malcuzynski 1961   31  0.2579  0.0015  0.0715  0.3576  0.0320  0.10
Magaloff 1978   11  0.372  0.132  0.184  0.5152  0.066  0.17
Magin 1975   16  0.3326  0.0111  0.079  0.4137  0.155  0.25
Michalowski 1933   22  0.3017  0.0124  0.0620  0.2982  0.0326  0.09
Milkina 1970   80  0.0728  0.0043  0.0442  0.0884  0.0344  0.05
Mohovich 1999   36  0.2450  0.0047  0.0355  0.0372  0.0462  0.03
Moravec 1969   79  0.0857  0.0084  0.0370  0.0389  0.0269  0.02
Morozova 2008   13  0.3680  0.0022  0.0717  0.3483  0.0234  0.08
Neighaus 1950   35  0.2413  0.0216  0.0813  0.3683  0.0322  0.10
Niedzielski 1931   71  0.1161  0.0049  0.0353  0.0361  0.0450  0.03
Ohlsson 1999   49  0.1941  0.0063  0.0358  0.0386  0.0273  0.02
Osinska 1989   3  0.463  0.123  0.132  0.6140  0.123  0.27
Pachmann 1927   77  0.0936  0.0048  0.0451  0.0481  0.0254  0.03
Paderewski 1930   37  0.2435  0.0041  0.0540  0.0959  0.0438  0.06
Perlemuter 1992   4  0.4122  0.0112  0.085  0.4961  0.049  0.14
Pierdomenico 2008   12  0.3637  0.0033  0.0636  0.1581  0.0336  0.07
Poblocka 1999   47  0.2044  0.0064  0.0364  0.0357  0.0547  0.04
Rabcewiczowa 1932   6  0.3930  0.0017  0.0811  0.3959  0.0412  0.12
Rachmaninoff 1923   29  0.2652  0.0029  0.0624  0.2776  0.0324  0.09
Rangell 2001   66  0.1362  0.0060  0.0278  0.0286  0.0284  0.02
Richter 1976   20  0.3151  0.0032  0.0830  0.2058  0.0425  0.09
Rosen 1989   24  0.2814  0.0221  0.0719  0.3066  0.0417  0.11
Rosenthal 1930   63  0.1483  0.0076  0.0282  0.0283  0.0280  0.02
Rosenthal 1931   57  0.1670  0.0054  0.0362  0.0366  0.0355  0.03
Rosenthal 1931b   68  0.1165  0.0069  0.0449  0.0474  0.0367  0.03
Rosenthal 1931c   53  0.1890  0.0040  0.0537  0.1378  0.0341  0.06
Rosenthal 1931d   62  0.1546  0.0068  0.0371  0.0351  0.0466  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   88  -0.1153  0.0090  0.0190  0.0187  0.0287  0.01
Rubinstein 1952   61  0.1534  0.0078  0.0275  0.0282  0.0385  0.02
Rubinstein 1966   82  0.0267  0.0083  0.0356  0.0381  0.0357  0.03
Schilhawsky 1960   41  0.2329  0.0053  0.0357  0.0385  0.0277  0.02
Shebanova 2002   51  0.1839  0.0070  0.0352  0.0385  0.0278  0.02
Smith 1975   1  0.4621  0.0110  0.093  0.5254  0.0411  0.14
Sokolov 2002   18  0.339  0.047  0.078  0.4255  0.0510  0.14
Sztompka 1959   25  0.285  0.056  0.0716  0.3472  0.0413  0.12
Tomsic 1995   46  0.2124  0.0137  0.0633  0.1868  0.0433  0.08
Uninsky 1932   23  0.298  0.0428  0.0827  0.2274  0.0427  0.09
Uninsky 1971   30  0.2516  0.0138  0.0538  0.1082  0.0345  0.05
Wasowski 1980   38  0.2412  0.0234  0.0531  0.2076  0.0332  0.08
Zak 1937   72  0.1077  0.0082  0.0365  0.0379  0.0352  0.03
Zak 1951   58  0.1525  0.0155  0.0366  0.0377  0.0353  0.03
Random 1   78  0.0818  0.0146  0.0447  0.041  0.608  0.15
Random 2   86  -0.0958  0.0087  0.0287  0.0275  0.0379  0.02
Random 3   85  -0.0233  0.0073  0.0280  0.0211  0.4030  0.09

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).