Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.5612  0.0239  0.0738  0.1757  0.0446  0.08
Anderszewski 2003   37  0.5430  0.0049  0.0559  0.0571  0.0366  0.04
Ashkenazy 1981   12  0.6325  0.0014  0.0812  0.4252  0.0529  0.14
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   81  0.3367  0.0080  0.0565  0.0573  0.0469  0.04
Barbosa 1983   52  0.5055  0.0030  0.0530  0.2232  0.2124  0.21
Biret 1990   1  0.7214  0.024  0.145  0.5120  0.329  0.40
Blet 2003   49  0.5190  0.0065  0.0471  0.0479  0.0380  0.03
Block 1995   50  0.5072  0.0018  0.0631  0.2226  0.2717  0.24
Blumental 1952   43  0.5220  0.0144  0.0644  0.1131  0.1631  0.13
Boshniakovich 1969   62  0.4736  0.0063  0.0560  0.0572  0.0471  0.04
Brailowsky 1960   3  0.7016  0.018  0.1311  0.4512  0.455  0.45
Bunin 1987   80  0.3335  0.0087  0.0472  0.0478  0.0384  0.03
Bunin 1987b   82  0.3262  0.0086  0.0288  0.0277  0.0387  0.02
Chiu 1999   15  0.615  0.065  0.144  0.528  0.512  0.51
Cohen 1997   19  0.6019  0.0126  0.1122  0.323  0.547  0.42
Cortot 1951   63  0.4660  0.0076  0.0473  0.0477  0.0473  0.04
Csalog 1996   25  0.5621  0.0116  0.0714  0.3910  0.466  0.42
Czerny 1949   72  0.4017  0.0174  0.0377  0.0349  0.0668  0.04
Czerny 1990   34  0.5446  0.0038  0.0742  0.1549  0.0545  0.09
Duchoud 2007   35  0.5432  0.0052  0.0649  0.0668  0.0456  0.05
Ezaki 2006   20  0.604  0.0713  0.0820  0.3368  0.0434  0.11
Falvay 1989   16  0.6110  0.0224  0.0724  0.3127  0.3711  0.34
Farrell 1958   6  0.6757  0.0025  0.0817  0.3430  0.2214  0.27
Ferenczy 1958   32  0.5415  0.0119  0.0633  0.1841  0.0832  0.12
Fliere 1977   22  0.5842  0.0027  0.0625  0.3067  0.0435  0.11
Fou 1978   8  0.6411  0.0215  0.108  0.4537  0.1316  0.24
Francois 1956   40  0.5348  0.0050  0.0563  0.0558  0.0558  0.05
Friedman 1923   84  0.3164  0.0084  0.0385  0.0363  0.0575  0.04
Friedman 1923b   83  0.3287  0.0083  0.0384  0.0359  0.0672  0.04
Friedman 1930   85  0.3075  0.0081  0.0380  0.0375  0.0482  0.03
Garcia 2007   47  0.5147  0.0053  0.0745  0.0751  0.0551  0.06
Garcia 2007b   70  0.4131  0.0047  0.0654  0.0642  0.0948  0.07
Gierzod 1998   18  0.606  0.0410  0.0915  0.3643  0.1322  0.22
Gornostaeva 1994   29  0.5529  0.0036  0.0541  0.1659  0.0447  0.08
Groot 1988   17  0.6138  0.0029  0.0826  0.2660  0.0442  0.10
Harasiewicz 1955   75  0.3951  0.0054  0.0558  0.0574  0.0374  0.04
Hatto 1993   42  0.5284  0.0041  0.0534  0.1826  0.2126  0.19
Hatto 1997   27  0.5641  0.0043  0.0837  0.1753  0.0544  0.09
Horowitz 1949   65  0.4543  0.0075  0.0474  0.0472  0.0377  0.03
Indjic 1988   31  0.5553  0.0042  0.0835  0.1832  0.1527  0.16
Kapell 1951   41  0.5359  0.0034  0.0529  0.2274  0.0443  0.09
Kissin 1993   55  0.4988  0.0048  0.0561  0.0553  0.0554  0.05
Kushner 1989   21  0.5981  0.0020  0.0627  0.2565  0.0441  0.10
Luisada 1991   11  0.643  0.113  0.142  0.6123  0.413  0.50
Lushtak 2004   36  0.5437  0.0045  0.0650  0.0673  0.0370  0.04
Malcuzynski 1961   61  0.4739  0.0078  0.0562  0.0557  0.0460  0.04
Magaloff 1978   14  0.6223  0.0121  0.0719  0.3449  0.0628  0.14
Magin 1975   64  0.4640  0.0046  0.0555  0.0551  0.0552  0.05
Michalowski 1933   87  0.2974  0.0066  0.0470  0.0464  0.0564  0.04
Milkina 1970   2  0.712  0.162  0.241  0.6114  0.451  0.52
Mohovich 1999   5  0.677  0.037  0.097  0.5035  0.2212  0.33
Moravec 1969   30  0.5565  0.0037  0.0643  0.1422  0.3619  0.22
Morozova 2008   74  0.4086  0.0059  0.0746  0.0758  0.0455  0.05
Neighaus 1950   13  0.6324  0.0128  0.0623  0.3270  0.0439  0.11
Niedzielski 1931   51  0.5070  0.0035  0.0540  0.1629  0.2525  0.20
Ohlsson 1999   9  0.6428  0.0022  0.079  0.4541  0.1023  0.21
Osinska 1989   24  0.5878  0.009  0.1118  0.3441  0.1420  0.22
Pachmann 1927   59  0.4952  0.0077  0.0468  0.0456  0.0562  0.04
Paderewski 1930   44  0.5168  0.0062  0.0466  0.0480  0.0378  0.03
Perlemuter 1992   54  0.509  0.0255  0.0653  0.0674  0.0359  0.04
Pierdomenico 2008   67  0.4344  0.0058  0.0747  0.0751  0.0650  0.06
Poblocka 1999   48  0.5163  0.0033  0.0628  0.2356  0.0536  0.11
Rabcewiczowa 1932   53  0.5058  0.0051  0.0648  0.0661  0.0453  0.05
Rachmaninoff 1923   68  0.4227  0.0071  0.0381  0.0384  0.0376  0.03
Rangell 2001   33  0.5469  0.0031  0.0532  0.1926  0.2818  0.23
Richter 1976   86  0.2956  0.0085  0.0287  0.0280  0.0388  0.02
Rosen 1989   4  0.681  0.211  0.213  0.5316  0.434  0.48
Rosenthal 1930   78  0.3489  0.0082  0.0382  0.0383  0.0289  0.02
Rosenthal 1931   69  0.4161  0.0073  0.0379  0.0353  0.0479  0.03
Rosenthal 1931b   66  0.4485  0.0064  0.0564  0.0554  0.0557  0.05
Rosenthal 1931c   73  0.4045  0.0079  0.0467  0.0479  0.0385  0.03
Rosenthal 1931d   57  0.4982  0.0060  0.0651  0.0630  0.2138  0.11
Rossi 2007   79  0.3434  0.0061  0.0652  0.0654  0.0649  0.06
Rubinstein 1939   56  0.4950  0.0057  0.0557  0.0518  0.3530  0.13
Rubinstein 1952   28  0.5618  0.0123  0.0716  0.3420  0.4510  0.39
Rubinstein 1966   10  0.6422  0.0140  0.0639  0.1728  0.2921  0.22
Schilhawsky 1960   71  0.4080  0.0070  0.0383  0.0373  0.0481  0.03
Shebanova 2002   7  0.6571  0.006  0.106  0.5022  0.328  0.40
Smith 1975   39  0.5366  0.0017  0.0721  0.3270  0.0437  0.11
Sokolov 2002   60  0.4876  0.0072  0.0376  0.0385  0.0286  0.02
Sztompka 1959   58  0.4979  0.0068  0.0469  0.0475  0.0463  0.04
Tomsic 1995   45  0.5177  0.0056  0.0556  0.0556  0.0461  0.04
Uninsky 1932   77  0.3733  0.0067  0.0475  0.0458  0.0567  0.04
Uninsky 1971   76  0.3826  0.0069  0.0378  0.0355  0.0665  0.04
Wasowski 1980   46  0.5154  0.0032  0.0636  0.1746  0.0640  0.10
Zak 1937   23  0.588  0.0211  0.1110  0.4535  0.1913  0.29
Zak 1951   38  0.5313  0.0212  0.1313  0.4234  0.1615  0.26
Random 1   90  -0.1573  0.0090  0.0190  0.0160  0.0490  0.02
Random 2   89  -0.0749  0.0089  0.0289  0.0259  0.0483  0.03
Random 3   88  0.1583  0.0088  0.0386  0.037  0.5133  0.12

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).