Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.2563  0.0031  0.0636  0.1687  0.0241  0.06
Anderszewski 2003   53  0.1849  0.0051  0.0364  0.0386  0.0275  0.02
Ashkenazy 1981   60  0.1584  0.0062  0.0374  0.0386  0.0363  0.03
Bacha 2000   85  0.0054  0.0086  0.0373  0.0386  0.0268  0.02
Badura 1965   46  0.2269  0.0075  0.0286  0.0284  0.0382  0.02
Barbosa 1983   57  0.1655  0.0082  0.0370  0.0386  0.0274  0.02
Biret 1990   33  0.2523  0.0152  0.0360  0.0385  0.0365  0.03
Blet 2003   51  0.1943  0.0073  0.0282  0.0284  0.0276  0.02
Block 1995   7  0.391  0.181  0.181  0.6224  0.291  0.42
Blumental 1952   68  0.1366  0.0076  0.0280  0.0287  0.0283  0.02
Boshniakovich 1969   9  0.3815  0.018  0.0621  0.2951  0.0515  0.12
Brailowsky 1960   45  0.2271  0.0036  0.0542  0.0984  0.0247  0.04
Bunin 1987   43  0.2342  0.0059  0.0361  0.0382  0.0364  0.03
Bunin 1987b   44  0.2245  0.0060  0.0546  0.0584  0.0348  0.04
Chiu 1999   40  0.2385  0.0066  0.0285  0.0287  0.0270  0.02
Cohen 1997   82  0.0331  0.0068  0.0277  0.0289  0.0284  0.02
Cortot 1951   22  0.317  0.045  0.087  0.4437  0.212  0.30
Csalog 1996   84  0.0132  0.0053  0.0355  0.0379  0.0357  0.03
Czerny 1949   8  0.3820  0.0116  0.1023  0.2971  0.0328  0.09
Czerny 1990   20  0.3248  0.0023  0.0627  0.2675  0.0331  0.09
Duchoud 2007   56  0.1656  0.0046  0.0447  0.0479  0.0360  0.03
Ezaki 2006   14  0.3572  0.0032  0.0630  0.2171  0.0332  0.08
Falvay 1989   35  0.2547  0.0045  0.0445  0.0885  0.0343  0.05
Farrell 1958   70  0.1110  0.0340  0.0540  0.1075  0.0344  0.05
Ferenczy 1958   61  0.1573  0.0080  0.0275  0.0267  0.0378  0.02
Fliere 1977   15  0.3459  0.0028  0.0526  0.2685  0.0322  0.09
Fou 1978   55  0.1874  0.0057  0.0369  0.0382  0.0352  0.03
Francois 1956   27  0.2827  0.0014  0.0818  0.3284  0.0236  0.08
Friedman 1923   74  0.1011  0.0225  0.0629  0.2139  0.137  0.17
Friedman 1923b   76  0.0938  0.0026  0.0633  0.1953  0.0618  0.11
Friedman 1930   49  0.2078  0.0043  0.0444  0.0849  0.0540  0.06
Garcia 2007   75  0.1075  0.0063  0.0362  0.0371  0.0361  0.03
Garcia 2007b   66  0.1368  0.0067  0.0278  0.0286  0.0287  0.02
Gierzod 1998   65  0.1440  0.0072  0.0451  0.0483  0.0259  0.03
Gornostaeva 1994   2  0.464  0.064  0.136  0.4842  0.144  0.26
Groot 1988   41  0.2381  0.0037  0.0435  0.1773  0.0338  0.07
Harasiewicz 1955   5  0.416  0.059  0.0612  0.3782  0.0319  0.11
Hatto 1993   90  -0.1386  0.0089  0.0190  0.0191  0.0191  0.01
Hatto 1997   88  -0.1187  0.0087  0.0287  0.0290  0.0190  0.01
Horowitz 1949   77  0.0982  0.0078  0.0284  0.0288  0.0272  0.02
Indjic 1988   91  -0.1688  0.0090  0.0189  0.0191  0.0189  0.01
Kapell 1951   71  0.1189  0.0081  0.0368  0.0387  0.0271  0.02
Kissin 1993   17  0.3364  0.0020  0.0614  0.3567  0.0414  0.12
Kushner 1989   10  0.3760  0.0013  0.0710  0.4182  0.0316  0.11
Luisada 1991   28  0.2776  0.0058  0.0449  0.0487  0.0349  0.03
Lushtak 2004   29  0.2619  0.0119  0.0724  0.2784  0.0329  0.09
Malcuzynski 1961   32  0.2579  0.0017  0.0715  0.3577  0.0320  0.10
Magaloff 1978   11  0.372  0.132  0.184  0.5153  0.066  0.17
Magin 1975   16  0.3326  0.0111  0.079  0.4138  0.155  0.25
Michalowski 1933   23  0.3017  0.0124  0.0620  0.2983  0.0325  0.09
Milkina 1970   81  0.0728  0.0044  0.0443  0.0885  0.0345  0.05
Mohovich 1999   37  0.2450  0.0048  0.0356  0.0373  0.0462  0.03
Moravec 1969   80  0.0857  0.0085  0.0371  0.0390  0.0269  0.02
Morozova 2008   13  0.3680  0.0021  0.0717  0.3484  0.0235  0.08
Neighaus 1950   36  0.2413  0.0218  0.0713  0.3684  0.0321  0.10
Niedzielski 1931   72  0.1161  0.0050  0.0354  0.0362  0.0451  0.03
Ohlsson 1999   50  0.1941  0.0064  0.0359  0.0387  0.0273  0.02
Osinska 1989   3  0.463  0.123  0.132  0.6141  0.123  0.27
Pachmann 1927   78  0.0936  0.0049  0.0452  0.0482  0.0255  0.03
Paderewski 1930   38  0.2435  0.0042  0.0541  0.0960  0.0439  0.06
Perlemuter 1992   4  0.4122  0.0112  0.085  0.4962  0.049  0.14
Pierdomenico 2008   12  0.3637  0.0034  0.0637  0.1582  0.0337  0.07
Poblocka 1999   48  0.2044  0.0065  0.0365  0.0358  0.0450  0.03
Rabcewiczowa 1932   6  0.3930  0.0015  0.0711  0.3960  0.0412  0.12
Rachmaninoff 1923   30  0.2652  0.0030  0.0625  0.2777  0.0323  0.09
Rangell 2001   67  0.1362  0.0061  0.0279  0.0287  0.0285  0.02
Richter 1976   21  0.3151  0.0033  0.0831  0.2059  0.0424  0.09
Rosen 1989   25  0.2814  0.0222  0.0619  0.3067  0.0417  0.11
Rosenthal 1930   64  0.1483  0.0077  0.0283  0.0284  0.0281  0.02
Rosenthal 1931   58  0.1670  0.0055  0.0363  0.0367  0.0356  0.03
Rosenthal 1931b   69  0.1165  0.0070  0.0450  0.0475  0.0367  0.03
Rosenthal 1931c   54  0.1890  0.0041  0.0538  0.1379  0.0342  0.06
Rosenthal 1931d   63  0.1546  0.0069  0.0372  0.0352  0.0466  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   89  -0.1153  0.0091  0.0191  0.0188  0.0288  0.01
Rubinstein 1952   62  0.1534  0.0079  0.0276  0.0283  0.0386  0.02
Rubinstein 1966   83  0.0267  0.0084  0.0357  0.0382  0.0358  0.03
Schilhawsky 1960   42  0.2329  0.0054  0.0358  0.0386  0.0277  0.02
Shebanova 2002   52  0.1839  0.0071  0.0353  0.0386  0.0279  0.02
Smith 1975   1  0.4621  0.0110  0.093  0.5255  0.0411  0.14
Sokolov 2002   18  0.339  0.047  0.078  0.4256  0.0510  0.14
Sztompka 1959   26  0.285  0.056  0.0716  0.3473  0.0413  0.12
Tomsic 1995   47  0.2124  0.0138  0.0634  0.1869  0.0434  0.08
Uninsky 1932   24  0.298  0.0427  0.0828  0.2275  0.0427  0.09
Uninsky 1971   31  0.2516  0.0139  0.0539  0.1083  0.0346  0.05
Wasowski 1980   39  0.2412  0.0235  0.0532  0.2077  0.0333  0.08
Zak 1937   73  0.1077  0.0083  0.0366  0.0380  0.0353  0.03
Zak 1951   59  0.1525  0.0156  0.0367  0.0378  0.0354  0.03
Average   19  0.3291  0.0029  0.0622  0.2987  0.0326  0.09
Random 1   79  0.0818  0.0147  0.0448  0.041  0.608  0.15
Random 2   87  -0.0958  0.0088  0.0288  0.0276  0.0380  0.02
Random 3   86  -0.0233  0.0074  0.0281  0.0211  0.4130  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).