Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.4636  0.0048  0.0646  0.0673  0.0356  0.04
Anderszewski 2003   54  0.3642  0.0032  0.0733  0.2675  0.0338  0.09
Ashkenazy 1981   11  0.5344  0.0016  0.087  0.5771  0.0423  0.15
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   82  0.2046  0.0072  0.0376  0.0381  0.0375  0.03
Barbosa 1983   47  0.3912  0.0127  0.0715  0.4772  0.0425  0.14
Biret 1990   15  0.5119  0.0130  0.0720  0.4546  0.0716  0.18
Blet 2003   63  0.3387  0.0077  0.0651  0.0680  0.0452  0.05
Block 1995   32  0.4551  0.0029  0.0732  0.3034  0.1811  0.23
Blumental 1952   52  0.374  0.0724  0.0734  0.2638  0.1712  0.21
Boshniakovich 1969   39  0.4261  0.0047  0.0649  0.0674  0.0358  0.04
Brailowsky 1960   6  0.543  0.086  0.116  0.5814  0.443  0.51
Bunin 1987   73  0.2969  0.0082  0.0456  0.0486  0.0277  0.03
Bunin 1987b   72  0.2941  0.0081  0.0380  0.0386  0.0285  0.02
Chiu 1999   33  0.459  0.027  0.124  0.5830  0.374  0.46
Cohen 1997   38  0.4363  0.0036  0.1031  0.3325  0.338  0.33
Cortot 1951   71  0.3065  0.0079  0.0555  0.0581  0.0359  0.04
Csalog 1996   26  0.4738  0.0046  0.0648  0.0636  0.2530  0.12
Czerny 1949   77  0.2724  0.0151  0.0368  0.0385  0.0288  0.02
Czerny 1990   59  0.3481  0.0071  0.0367  0.0379  0.0379  0.03
Duchoud 2007   45  0.3956  0.0053  0.0373  0.0376  0.0374  0.03
Ezaki 2006   25  0.4713  0.0125  0.0721  0.4376  0.0331  0.11
Falvay 1989   5  0.5639  0.0011  0.149  0.5659  0.0517  0.17
Farrell 1958   41  0.4166  0.0062  0.0463  0.0474  0.0367  0.03
Ferenczy 1958   37  0.4311  0.0137  0.0642  0.1453  0.0639  0.09
Fliere 1977   43  0.4082  0.0052  0.0465  0.0481  0.0362  0.03
Fou 1978   7  0.5415  0.0112  0.125  0.5847  0.0713  0.20
Francois 1956   58  0.3483  0.0069  0.0462  0.0476  0.0382  0.03
Friedman 1923   88  0.0484  0.0090  0.0290  0.0283  0.0390  0.02
Friedman 1923b   87  0.0588  0.0089  0.0289  0.0284  0.0289  0.02
Friedman 1930   85  0.0975  0.0083  0.0383  0.0386  0.0287  0.02
Garcia 2007   74  0.2950  0.0065  0.0459  0.0455  0.0557  0.04
Garcia 2007b   80  0.2235  0.0061  0.0375  0.0340  0.1649  0.07
Gierzod 1998   1  0.591  0.331  0.331  0.6510  0.412  0.52
Gornostaeva 1994   35  0.4343  0.0058  0.0366  0.0380  0.0378  0.03
Groot 1988   24  0.4871  0.0042  0.0840  0.1978  0.0344  0.08
Harasiewicz 1955   79  0.2640  0.0026  0.0730  0.3381  0.0335  0.10
Hatto 1993   36  0.4318  0.015  0.1116  0.4737  0.1810  0.29
Hatto 1997   29  0.4623  0.0114  0.0724  0.4043  0.0915  0.19
Horowitz 1949   55  0.3685  0.0067  0.0371  0.0367  0.0468  0.03
Indjic 1988   34  0.457  0.034  0.1117  0.4736  0.189  0.29
Kapell 1951   31  0.4521  0.0145  0.0644  0.1267  0.0446  0.07
Kissin 1993   28  0.4673  0.0035  0.0729  0.3357  0.0527  0.13
Kushner 1989   9  0.5310  0.0223  0.0818  0.4567  0.0426  0.13
Luisada 1991   20  0.492  0.108  0.1211  0.5334  0.217  0.33
Lushtak 2004   44  0.4037  0.0034  0.0637  0.2383  0.0343  0.08
Malcuzynski 1961   16  0.5052  0.0040  0.0835  0.2572  0.0337  0.09
Magaloff 1978   21  0.4945  0.0028  0.0627  0.3786  0.0236  0.09
Magin 1975   56  0.3586  0.0043  0.0743  0.1381  0.0350  0.06
Michalowski 1933   83  0.1616  0.0155  0.0461  0.0481  0.0371  0.03
Milkina 1970   4  0.578  0.033  0.128  0.5730  0.265  0.38
Mohovich 1999   12  0.5229  0.0019  0.1122  0.4372  0.0428  0.13
Moravec 1969   40  0.4132  0.0050  0.0553  0.0573  0.0453  0.04
Morozova 2008   60  0.3428  0.0031  0.0738  0.2372  0.0342  0.08
Neighaus 1950   19  0.4917  0.0120  0.1223  0.4068  0.0429  0.13
Niedzielski 1931   62  0.3349  0.0068  0.0458  0.0454  0.0554  0.04
Ohlsson 1999   17  0.5014  0.0115  0.0710  0.5449  0.0521  0.16
Osinska 1989   50  0.3758  0.0044  0.0645  0.1276  0.0445  0.07
Pachmann 1927   42  0.4148  0.0039  0.0641  0.1647  0.0634  0.10
Paderewski 1930   61  0.3372  0.0064  0.0370  0.0387  0.0286  0.02
Perlemuter 1992   70  0.3077  0.0070  0.0460  0.0478  0.0363  0.03
Pierdomenico 2008   67  0.3262  0.0056  0.0464  0.0486  0.0365  0.03
Poblocka 1999   23  0.4864  0.0038  0.0739  0.2281  0.0340  0.08
Rabcewiczowa 1932   64  0.3367  0.0060  0.0382  0.0364  0.0466  0.03
Rachmaninoff 1923   84  0.1278  0.0084  0.0287  0.0286  0.0284  0.02
Rangell 2001   8  0.5320  0.0110  0.1226  0.3948  0.0624  0.15
Richter 1976   65  0.3389  0.0076  0.0457  0.0481  0.0369  0.03
Rosen 1989   10  0.5333  0.0017  0.1013  0.4747  0.0522  0.15
Rosenthal 1930   81  0.2179  0.0085  0.0285  0.0289  0.0191  0.01
Rosenthal 1931   68  0.3254  0.0075  0.0647  0.0657  0.0451  0.05
Rosenthal 1931b   57  0.3459  0.0074  0.0552  0.0556  0.0460  0.04
Rosenthal 1931c   69  0.3134  0.0078  0.0554  0.0585  0.0281  0.03
Rosenthal 1931d   48  0.3857  0.0073  0.0377  0.0368  0.0480  0.03
Rossi 2007   90  0.0060  0.0088  0.0286  0.0273  0.0383  0.02
Rubinstein 1939   66  0.3253  0.0066  0.0378  0.0334  0.2441  0.08
Rubinstein 1952   18  0.5090  0.0022  0.0919  0.4526  0.266  0.34
Rubinstein 1966   14  0.5130  0.0033  0.0925  0.4044  0.1014  0.20
Schilhawsky 1960   49  0.3755  0.0049  0.0650  0.0670  0.0355  0.04
Shebanova 2002   3  0.585  0.052  0.112  0.6317  0.431  0.52
Smith 1975   53  0.3727  0.0041  0.0636  0.2359  0.0432  0.10
Sokolov 2002   51  0.3747  0.0059  0.0381  0.0382  0.0364  0.03
Sztompka 1959   78  0.2791  0.0080  0.0379  0.0385  0.0370  0.03
Tomsic 1995   13  0.526  0.0521  0.1028  0.3675  0.0333  0.10
Uninsky 1932   76  0.2825  0.0163  0.0374  0.0380  0.0373  0.03
Uninsky 1971   46  0.3931  0.0057  0.0369  0.0376  0.0372  0.03
Wasowski 1980   75  0.2970  0.0054  0.0372  0.0384  0.0361  0.03
Zak 1937   22  0.4874  0.0018  0.0914  0.4747  0.0618  0.17
Zak 1951   27  0.4626  0.0113  0.0712  0.4948  0.0619  0.17
Average   2  0.5922  0.019  0.113  0.6155  0.0520  0.17
Random 1   91  -0.0268  0.0091  0.0191  0.0140  0.1176  0.03
Random 2   89  0.0076  0.0086  0.0288  0.0228  0.2247  0.07
Random 3   86  0.0880  0.0087  0.0284  0.0227  0.2848  0.07

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).